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101 Commits
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959bf13406
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fix(memory): flush memory queue on graceful shutdown to prevent loss (#4181)
* fix(memory): bounded shutdown flush via MemoryManager.shutdown_flush Re-applies the memory-queue shutdown drain on top of the pluggable MemoryManager abstraction (#4122): the old top-level MemoryUpdateQueue singleton is gone, so the drain is now a backend contract instead of host code reaching into the queue. - MemoryManager ABC: shutdown_flush(timeout) -> bool. Every backend implements a bounded graceful-shutdown drain. - DeerMem: queue.flush_sync (daemon-thread + Event.wait hard timeout for the uninterruptible sync LLM call; joins an in-flight worker first so contexts a debounce Timer already pulled out are not lost on exit; skips inter-item sleep on the drain path; per-item succeeded/failed count), exposed via shutdown_flush. - noop: shutdown_flush is a clean no-op success. - Gateway lifespan: call get_memory_manager().shutdown_flush(timeout) after channels/scheduler stop, via asyncio.to_thread, try/except bounded. No host-level pending/processing guard -- the backend short-circuits on an idle buffer, so the host cannot "forget" the in-flight case (structurally eliminates the guard race flagged on the prior revision). - shutdown_flush_timeout_seconds added to the shared MemoryConfig (host-owned lifecycle budget, default 30, 1-300) + exposed on MemoryConfigResponse and the embedded client; config_version 25 -> 26. Tests: queue flush_sync (7), lifespan drain incl. False-branch caplog assertion + disabled gate (3), ABC contract noop/deermem (3). * fix(chart): gateway grace period so memory drain is not SIGKILLed K8s defaults terminationGracePeriodSeconds to 30s, shorter than the Gateway's graceful-shutdown work (channel stop ~5s + memory queue drain default 30s). Without an explicit grace period, K8s SIGKILLs the memory drain mid-flight and silently re-introduces the loss shutdown_flush is fixing (flagged on the prior revision). - gateway pod: terminationGracePeriodSeconds (default 45, configurable). - gateway container: preStop sleep (default 5, 0 disables) so the Service/ingress deregisters the pod before SIGTERM begins the drain. - values.yaml + README: both configurable; README documents that the grace period must track memory.shutdown_flush_timeout_seconds. * docs(memory): document shutdown_flush_timeout_seconds + lifespan drain Add the host-shared field to the memory config list and Config Schema summary in backend/AGENTS.md, noting the lifespan drain and the K8s grace-period relationship. * fix(chart): bump embedded config_version to 26 The chart's embedded `config:` block (values.yaml + README example) still had config_version: 25 after commit f3ca8e9f raised config.example.yaml to 26, failing the validate-chart config_version drift check. Bump both to 26. |
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ad45f59d66
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feat(memory): pluggable memory abstraction with self-contained DeerMem backend (#4122)
* feat(memory): pluggable + self-contained memory system (MemoryManager plan phases 1 & 2) Phase 1 — Pluggable (steps 0-10): - ABC MemoryManager (9 methods) + singleton factory + drop-in backend discovery - DeerMem default backend with core/ (storage/queue/updater/prompt/message_processing) - NoopMemoryManager backend (proves pluggability) - All call sites (middleware/hook/prompt/gateway/client/app) routed through manager - hasattr capability probing for DeerMem-internal methods (no hard imports) - MemoryConfig gains manager_class field; shared vs DeerMem-private annotated Phase 2 — Self-contained DeerMem (steps 11-18): - backend_config passthrough + DeerMemConfig (all DeerMem-private fields moved off MemoryConfig) - DI: DeerMem owns storage/queue/updater/llm as instance attributes (no global singletons) - Storage independence: core/paths.py with own root (~/.deermem or ), factory auto-injects deer-flow's runtime_home() as absolute base_dir (zero-config) - LLM independence: core/llm.py via langchain init_chat_model (no create_chat_model) - Trace independence: optional tracing_callback replaces inject_langfuse_metadata/request_trace_context - Message processing independence: hide_from_ui default-skip + optional should_keep_hidden_message hook - Internal imports → relative (only deer_mem.py ABC import is host-relative) - Carrier (deer_mem.py adapter) / portable (deermem/ config+core) split - New tests: test_deermem_self_contained + test_memory_manager_pluggable; all memory tests migrated - Other-agent demo: samples/other_agent_demo/ + automated portability test - config.example.yaml memory section updated to phase-2 schema * feat(memory): port consolidation + staleness fix into self-contained DeerMem; phase-2 host hooks Port upstream #3996 (memory consolidation) and #3993 (staleness KeyError fix) from origin/MemoryManager into the pluggable, self-contained DeerMem structure (backends/deermem/deermem/), adapted to the DI MemoryUpdater (config injected, not get_memory_config globals): - DeerMemConfig: add consolidation_enabled (opt-in, default false) / consolidation_min_facts / consolidation_max_groups_per_cycle / consolidation_max_sources - prompt.py: factsToConsolidate JSON field + {consolidation_section} placeholder + CONSOLIDATION_PROMPT constant - updater.py: _coerce_source_confidence / _select_consolidation_candidates / _build_consolidation_section module helpers (matching the existing _select_stale_candidates style); consolidation normalization in _normalize_memory_update_data; consolidation apply in _apply_updates (after max_facts trim, with apply-time guardrails mirroring staleness); staleness KeyError fix (f["id"] -> f.get("id") is not None) applied to both the staleness guardrail and the consolidation allowed_source_ids comprehension - config.example.yaml: consolidation section under memory.backend_config - tests/test_memory_consolidation.py: 40 DI-adapted tests (running, not skipped) incl. the staleness KeyError regression Also includes in-flight phase-2 host-integration work: storage_path semantics (any absolute/relative value = root dir) and host-default tracing_callback / should_keep_hidden_message hooks injected into backend_config by the factory. Co-Authored-By: Claude <noreply@anthropic.com> * feat(memory): add noop backend template and backends guide - backends/noop/: complete drop-in template (config.py with zero deer-flow imports, noop_manager.py with a 6-step new-backend walkthrough in its docstring, commented optional fact-CRUD capabilities). - backends/README.md: which files to touch when adding/swapping a backend, the 5-item backend contract, and common pitfalls. - manager.py: generalize backend examples in comments (drop mem0-specific references). Co-Authored-By: Claude <noreply@anthropic.com> * fix(frontend): guard formatTimeAgo against invalid timestamps Return a neutral placeholder when the input date is invalid (e.g. an empty lastUpdated from a backend with no memories) instead of throwing 'Invalid time value' from date-fns. Co-Authored-By: Claude <noreply@anthropic.com> * feat(memory): wire tool-driven memory mode through the MemoryManager ABC tools.py (memory_search/add/update/delete) now calls get_memory_manager() instead of the removed host memory module, so tool mode (memory.mode: tool) works for any backend. DeerMem.search is implemented (case-insensitive substring match, ranked by confidence) as a stand-in for the planned semantic retrieval; noop.search returns [] (unchanged). Fact-CRUD tools use getattr+callable probing -- backends lacking those ops (noop) get a clear JSON error instead of crashing. Tests: test_memory_tools rewired to mock the manager (handler tests) + TestModeGating retained; test_memory_search now covers DeerMem.search; pluggable stubs test updated (search no longer a stub). Co-Authored-By: Claude <noreply@anthropic.com> * fix: resolve lint errors (import sorting, type annotation quotes, E402 in skipped tests) * docs: restore explanatory comments in config.example.yaml memory section * fix(security): port html-escape memory facts fix (#4097) to vendored DeerMem prompt.py * fix(memory): address review + port dropped upstream memory fixes Review blockers (vendored DeerMem): - #4044 restore _escape_memory_for_prompt (current_memory blob in MEMORY_UPDATE_PROMPT) - prevents </current_memory> breakout - #4028 html.escape staleness-section cat/content in _build_staleness_section - #4119 add _escape_summary for injection-path summaries (Work/Personal/ Current Focus/Recent/Earlier/Background) - default-model silent no-op: factory injects host default chat model via a new host_llm slot (create_chat_model(name=None)); DeerMem prefers host_llm over build_llm(model). Zero-config extraction works out of the box again - MemoryConfigResponse: fix stale docstring (backend-agnostic shape; DeerMem knobs live under backend_config, not top-level - restoring flat would re-couple the API to DeerMem). Frontend audited: does not read /memory/config - _host_default_tracing_callback: restore langfuse assistant_id/environment - search: push category onto the ABC signature; DeerMem filters BEFORE the top_k slice (was filtered client-side after slicing -> starved results) - _do_update_memory_sync: split into wrapper+impl; bind trace_id into the request-trace ContextVar on the Timer/executor worker via a new trace_context_manager host hook (None trace_id left unbound - no fabrication) - client.py fact-CRUD now passes user_id (was writing to the global bucket while get_memory reads per-user) - _resolve_manager_class: fail-fast (raise ValueError) on an unresolved explicit manager_class instead of silently falling back to DeerMem (memory is persistent state - a wrong store is a silent data-integrity footgun) Upstream memory fixes dropped by the host->vendored rename conflict, re-ported to backends/deermem/deermem/core/ (+ deer_mem.py): - #4073 queue busy-timer-spin -> _reprocess_pending flag (core/queue.py) - #4074 null source.confidence in staleness -> _coerce_source_confidence (core/updater.py: _build_staleness_section + _apply_updates stale sort) - #4075 factsToRemove is optional (drop from _REQUIRED_MEMORY_UPDATE_TOP_LEVEL_KEYS) - #4076 null confidence in search ranking -> _coerce_source_confidence (deer_mem.py DeerMem.search) host_llm + trace_context_manager are host-injected via backend_config (factory in manager.py), keeping backends/deermem/ at exactly one `from deerflow` line (the ABC contract) - portability test preserved. Co-Authored-By: Claude <noreply@anthropic.com> * fix: resolve lint errors (F541 f-string without placeholders, E501 line too long) * fix(memory): restore hide_from_ui clarification preservation, expose mode Two memory-system fixes (F541/E501 lint was already fixed on this branch): - filter_messages_for_memory: restore default preservation of well-formed human_input_response clarification answers (v2 regression). The self-containment refactor made the bare function skip ALL hide_from_ui when no hook was passed, but upstream preserves well-formed clarification responses by default (test_hide_from_ui_human_input_response_is_preserved). Inline a host-agnostic _is_human_clarification_response mirror of read_human_input_response as the default keep-decision; the host-injected should_keep_hidden_message hook still overrides (production path unchanged). Portable package stays zero `from deerflow`. - /memory/config: expose `mode` (middleware|tool) in MemoryConfigResponse + the config/status endpoints + client.get_memory_config. mode is a host- shared, behavior-determining field missing from the response projection. Sync tests (mock .mode; e2e assert mode present). - Align manager_class field docstring with fail-fast behavior. Tests: filter/self-contained/portability (35) + memory-config (4) pass; ruff clean. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): resolve ruff format failures in memory module + tests `make lint` runs `ruff format --check` in addition to `ruff check`; 8 memory files had pending format changes -- 7 pre-existing (deer_mem, updater, tools, test_memory_queue/router/search/tools) + message_processing from the hide_from_ui fix. Apply `ruff format`: whitespace/wrapping only, no logic change. 109 memory tests pass; ruff check + format --check both clean. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): address PR review - legacy field migration, fact_id contract, path/docs Address willem-bd's review on PR head bc8bf0d4 (risk:high, persistent state): - config: auto-migrate pre-abstraction top-level memory.* DeerMem fields (storage_path, max_facts, debounce_seconds, model_name, token_counting, staleness_*, consolidation_*) into backend_config on load + warn, so an upgrade does NOT silently revert customized settings (was: silent extra='ignore' drop). model_name -> backend_config.model.model. Unknown top-level keys warned. - factory: resolve a relative backend_config.storage_path against runtime_home() (base_dir-relative, CWD-independent) to preserve pre-abstraction semantics; paths.py stays portable (no runtime_home import). - tools: memory_add uses the fact_id returned directly by create_fact instead of re-deriving it via content-key matching (coupled the tool to the backend's content normalization; could misreport a storage cap). create_fact now returns (memory_data, fact_id); gateway/client/tool updated. Fix terse {"error":"content"} -> {"error":"empty content"}. - app.py: update stale token_counting=="char" warm-up comment to point at manager.warm (DeerMem.warm re-checks char and returns early). - router: comment explaining reload_memory silent fallback vs fact 501 asymmetry (read-only degrade vs write fail-loud). - CHANGELOG: document breaking changes (/memory/config + client.get_memory_config shape flat->backend_config; custom storage_class path moved + __init__ must accept config) and the legacy-field auto-migration. - tests: add regression test pinning the per-user memory path ({storage_path}/users/{safe_user_id}/memory.json == host make_safe_user_id) across the abstraction; update create_fact mocks for (memory_data, fact_id). Tests: 273 passed (memory suite); ruff check + format clean. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): address PR review - storage_path, max_facts, tracing, parsing Six review findings (willem-bd), each verified against upstream: - storage_path semantics (file -> root dir): migration drops file-style (.json) legacy values with a warning; factory raises if storage_path resolves to an existing file (avoid silent NotADirectoryError write failure). CHANGELOG + config.example.yaml comment updated. - create_memory_fact enforces max_facts again (via _trim_facts_to_max) and returns (memory, None) when the cap evicts the new fact; memory_add tool reports "not stored", client raises ValueError, POST /memory/facts -> 409. - max_facts trim uses _coerce_source_confidence (was raw f.get("confidence", 0) -> TypeError on non-float imported/legacy confidence, swallowed as silent update failure). - memory-tracing assistant_id restored to "memory_agent" (was "lead-agent" copy-paste; matches upstream + DeerMem run_name). - _is_human_clarification_response cross-checked against read_human_input_response (drift guard test). - empty-string legacy values skipped silently in migration (narrow fix, not broad "if not value" which would skip explicit bool False). 8 new regression tests. make lint + 406 memory tests pass. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): address internal review - storage fail-fast, build_llm degrade, config warn, noop template Addresses 4 findings from the PR #4122 internal supplemental review (parallel to willem-bd's review, no overlap): - create_storage fail-fast: a misspelled/unimportable storage_class now raises ValueError instead of silently falling back to FileMemoryStorage. Memory is persistent state, so a wrong store is a data-integrity footgun; mirrors the existing manager_class resolution policy. (storage.py) - noop template create_fact signature: the commented template used keyword-only `content` and returned a bare dict, while DeerMem's actual create_fact takes positional `content` and returns tuple[dict, str|None] (the memory_add tool passes content positionally; gateway/client/tools all tuple-unpack). A backend copied from the template would 500 on fact-CRUD. Template fixed; delete_fact/update_fact templates left (callers compatible). (noop_manager.py) - build_llm graceful degrade: wrap init_chat_model in try/except, degrade to None + WARNING on failure (mirroring _host_default_llm) so a misconfigured explicit model does not crash app startup -- non-LLM memory ops still work and an update raises at runtime with the error logged. (llm.py) - from_backend_config unknown-key warning: log a WARNING for unknown backend_config keys (mirrors the host layer's load_memory_config_from_dict) so a typo like `storage_pat` does not silently fall back to the default and write memory to an unintended location. (config.py) Tests: rewrote 3 create_storage fallback tests to expect ValueError; added 4 tests (build_llm zero-config/degrade, from_backend_config warn/silent). make lint green; full memory suite passes. Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: lllyfff <2281215061@qq.com> Co-authored-by: Claude <noreply@anthropic.com> Co-authored-by: lllyfff <122260771+lllyfff@users.noreply.github.com> |
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1300c6d36b
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feat(authz): add pluggable AuthorizationProvider protocol and config scaffolding (Phase 0, #4063) (#4127)
Phase 0 of the RFC in #4063: scaffolding only, zero behavior change. New deerflow/authz/ package (sibling to deerflow/guardrails/): - AuthorizationProvider Protocol: authorize() + aauthorize() + filter_resources() - Principal/AuthzRequest/AuthzDecision/AuthzReason dataclasses - GuardrailAuthorizationAdapter: bridges AuthorizationProvider → GuardrailProvider so existing GuardrailMiddleware can enforce authz decisions without a new middleware New authorization config section (default enabled: false): - AuthorizationConfig wired into AppConfig alongside guardrails - Singleton load/reset mirrors GuardrailsConfig pattern - config.example.yaml documents the RBAC provider schema 29 tests covering protocol conformance, dataclass construction, adapter request/decision mapping, and config singleton behavior. Per RFC #4063 Phase 0 (foundations). Layer 1/2 wiring and Principal builder in services.py deferred to Phase 1. |
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4af6178358
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feat(trace): add agent observability with Monocle (#4024)
* Add Monocle tracing Enable Monocle (OpenTelemetry tracing for LLM apps) with one setup call plus the monocle_apptrace dependency. setup_monocle_telemetry auto-instruments the frameworks already in use and writes traces to .monocle/. Additive; no changes to application logic. * Config-gate Monocle telemetry in the Gateway lifespan Addresses review on #4024: moves setup_monocle_telemetry out of agents/__init__ import time into the Gateway lifespan, gated by MonocleTracingConfig (MONOCLE_TRACING env, default off). Warns on the Langfuse/global-OTel-provider conflict and relies on monocle_apptrace's own duplicate-setup guard and existing-provider attach. Pins monocle_apptrace>=0.8.8 (+ uv.lock), adds .monocle/ to .gitignore, adds tests (default-off / toggle-on / no import-time setup), and documents exporters, Okahu, and the VS Code viewer in README, config.example.yaml, and backend/AGENTS.md. * Clarify Monocle/Langfuse single-provider guidance Make the docstring, warning, and AGENTS.md consistent with the README: only one library can own the global OpenTelemetry provider; Monocle initializes at startup before Langfuse's per-run handler, so enabling both drops Langfuse's spans — enable one OTel tracer (LangSmith, a callback, coexists fine). * Address review: optional extra, exporter validation, off-box warning, tests Responds to the second review round. - Make monocle_apptrace an optional extra (deerflow-harness[monocle], re-exposed as deer-flow[monocle]) following the boxlite/tui precedent, so a default install no longer pulls the OpenTelemetry stack. It stays pinned in the dev group for the tracing tests, and enabling MONOCLE_TRACING without the extra raises a clear install error. - Warn loudly at startup whenever any exporter other than `file` is configured, since those move prompts, tool inputs/outputs, and completions beyond the local .monocle/ directory. - Validate MONOCLE_EXPORTERS against the known exporter names and require OKAHU_API_KEY when okahu is selected, mirroring the Langfuse pattern. Validation runs from Monocle's own init (not validate_enabled) so a config typo can never fail agent runs; errors surface at Gateway startup instead. - Grow the tests from 5 to 13: caplog coverage for the Langfuse-conflict and off-box warnings, exporter validation cases, a stronger import-time regression that asserts the global TracerProvider is not replaced, and a subprocess double-invoke test exercising the real check_duplicate_setup. - Docs: config.example.yaml block retitled to a dedicated tracing header; README documents the [monocle] install and scopes tracing to Gateway runs. * docs: align Monocle README section with the other tracing providers Lead with what Monocle is and captures, drop the install step (the dev group already ships monocle_apptrace via uv sync; unusual installs get the RuntimeError), and point the missing-package error at the repo-native command (uv sync --extra monocle / deerflow-harness[monocle]). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * Address review: verified Langfuse coexistence, lifespan test, scope docs Responds to the third review round. The Langfuse conflict claim was wrong, verified empirically against langfuse 4.5.1 in both init orders: whichever library initializes second reuses the existing global TracerProvider and attaches its own span processor, so neither side loses spans. Dropped the warning and its tests, corrected the README, AGENTS.md, and config.example.yaml statements, and pinned the verified behavior with test_coexists_with_langfuse (real monocle + real langfuse in a subprocess, no mocks). One honest caveat documented: both processors see all spans, so Monocle's exporters also capture Langfuse's spans when both are enabled. Also from the review: - Document the Gateway-only scope in AGENTS.md: the lifespan is the sole call site, so the embedded DeerFlowClient and TUI are not instrumented; embedded users call setup_monocle_tracing_if_enabled() themselves. - Add test_gateway_lifespan_initializes_monocle pinning the lifespan wiring. - Comment why MonocleTracingConfig.is_configured is intentionally coarser than LangSmith/Langfuse (composite validation lives in validate() at startup). - Note that monocle_exporters_list takes the comma-separated string as-is. - Module-level importorskip("monocle_apptrace") so minimal installs collect the test module cleanly. * docs: reword Monocle intro sentence * fix(tests): run the import-time regression in a subprocess test_no_import_time_setup deleted deerflow.agents* from sys.modules and re-imported to force __init__ to re-execute. The re-import creates new module objects, and restoring the old sys.modules entries afterwards leaves the parent package's attribute bindings pointing at the new ones, so any later test that resolves a deerflow.agents.* dotted path (monkeypatch.setattr in test_summarization_middleware, test_thread_data_middleware, and others) failed with "module 'deerflow.agents' has no attribute ...". Run the check in a subprocess instead: the import is genuinely fresh, the assertion is stronger (the provider must still be the SDK-less proxy, proving nothing was installed at any point), and no module identity leaks into the rest of the suite. * Address review: console warning scope, embedded hint, honest naming, doc alignment Responds to the post-approval review round: - Scope the off-box exporter warning to the remote exporters (okahu, s3, blob, gcs): console writes to local stdout and no longer trips it. config.example.yaml's data-handling note now distinguishes file / console / remote likewise. - Rename MonocleTracingConfig.is_configured to is_enabled so the boolean reads as what it checks; the exporter-dependent credential check stays in validate(), run at Gateway startup. - Hint on the embedded path: build_tracing_callbacks() logs a debug line when MONOCLE_TRACING is set but setup never ran in this process, so embedded DeerFlowClient/TUI users are not left with silent no-op tracing. Backed by a process-global setup flag. - Re-export setup_monocle_tracing_if_enabled from deerflow.tracing, matching the package convention. - Note the deliberate fail-open-at-startup contrast with LangSmith/Langfuse in the lifespan, and the OTel SDK-internals dependency in the coexistence test. - Test hygiene: clear MONOCLE_* env in the tracing config/factory fixtures; reset the setup flag in the monocle test fixture; reword the README Langfuse-spans claim as the shared-provider inference it is. - Document that .monocle/ trace files are never rotated or cleaned up. * fix(tests): pin the factory logger level in the embedded-hint tests configure_logging() from earlier tests in the full suite pins an explicit INFO level on the logger hierarchy, so a root-level caplog.at_level(DEBUG) never sees the factory's debug hint. Scope caplog to deerflow.tracing.factory so the test is independent of suite ordering. * Address review: co-export disclosure, lifespan failure test, exporter parse dedup - Off-box warning now notes that Langfuse's spans are exported too when both providers are enabled and share the global OTel provider; pinned both ways by tests. - Pin the lifespan fail-open contract: a raising Monocle setup is logged and the Gateway keeps serving (pragma dropped now that the path is exercised). README notes a config error is reported at startup and tracing stays off until restart. - Hoist exporter parsing into MonocleTracingConfig.exporter_list so validate() and the off-box warning cannot diverge, and note the upstream coupling on the exporter allow-list. - Reduce config.example.yaml's Monocle block to a pointer; the capture, retention, and data-handling detail lives in README's Monocle section. --------- Co-authored-by: Claude Fable 5 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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8cc4b3abeb
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fix(sandbox): the sandbox provisioner api exposes endpoints need to check API KEY (#4116)
* fix: V-001 security vulnerability Automated security fix generated by OrbisAI Security * fix(sandbox): wire provisioner API key through backend client and config RemoteSandboxBackend now accepts an api_key parameter and sends it as X-API-Key on all five provisioner HTTP calls (list, create, destroy, is_alive, discover). AioSandboxProvider reads provisioner_api_key from SandboxConfig and forwards it at construction time. SandboxConfig formally declares the field; config.example.yaml documents it under Option 4; docker-compose-dev.yaml threads PROVISIONER_API_KEY into both the provisioner and gateway containers so a single .env entry covers both sides. Tests: monkeypatch PROVISIONER_API_KEY and send X-API-Key headers in the five parametrized threading tests (previously 401-failing); new test_auth_middleware asserts /health is open, /api/* rejects no-header and wrong-key with 401, and accepts the correct key. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(provisioner): correct fail-closed auth docs and fix test mock signatures The first round of PR #4116 fixes left four blocking issues: - Mock signatures in test_remote_sandbox_backend.py (17) and test_aio_sandbox_provider.py (2) didn't accept the new headers= kwarg, causing TypeError on every provisioner HTTP call test. - sandbox_config.py and config.example.yaml described the auth as optional ("leave unset to disable") but the middleware is fail-closed: an unset PROVISIONER_API_KEY causes 401 on every /api/* request. - .env.example had no PROVISIONER_API_KEY entry, leaving users with an empty value and silent 401s. - No test covered the PROVISIONER_API_KEY="" fail-closed path. Fix all four: add headers=None to all mock signatures, correct the field description and example comment to state that both sides must have the same key set, add PROVISIONER_API_KEY to .env.example with generation guidance, add test_auth_middleware_unset_key, and add a logger.warning on auth rejection for observability. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> |
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a94ea9325b
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fix(agents): load SOUL.md from agent dirs without config.yaml (#4136)
* fix(agents): load SOUL.md from agent dirs without config.yaml (#4135) resolve_agent_dir requires config.yaml to be present in an agent directory (added in #3481 to fix #3390, where memory-only directories were mistaken for agent directories). However, SOUL.md loading does not depend on config.yaml. When an agent is configured externally (e.g. via DEER_FLOW_CONFIG_PATH) and the agent directory contains SOUL.md but no config.yaml, resolve_agent_dir skips the directory and load_agent_soul returns None. Add a fallback in load_agent_soul: if the resolved directory does not contain SOUL.md, check the per-user and legacy directories directly for SOUL.md. This preserves the #3390 fix for resolve_agent_dir (which is also used by load_agent_config) while allowing SOUL.md to load independently of config.yaml. * fix(agents): gate SOUL.md fallback on missing config.yaml per review Address review feedback on PR #4136: 1. Gate the fallback condition on not (agent_dir / config.yaml).exists() so it only fires when resolve_agent_dir returned its default path (no agent dir qualified), not when a properly-resolved per-user agent simply lacks SOUL.md. This preserves the per-user shadowing invariant. 2. Fix test_loads_soul_from_user_dir_without_config_yaml to actually exercise the fallback path: per-user memory-only dir (no config.yaml, no SOUL.md) + legacy dir with SOUL.md (no config.yaml) -> fallback finds legacy SOUL.md. 3. Add test_soul_not_leaked_from_legacy_when_per_user_has_config to verify the gate prevents legacy SOUL.md leaking into a per-user agent. 4. Patch get_effective_user_id in test_loads_soul_without_config_yaml for consistency and resilience. |
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4e209827f3
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feat(agent): Add subagent total delegation cap (#4115)
* fix subagent total delegation cap * fix embedded subagent run cap context * fix subagent cap config consistency * fix resumed subagent run cap boundary * fix legacy resume subagent boundary * address subagent cap review feedback --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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74392e1470
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Fix require_mention gating on whitespace-only bot_login/mention_login (#4055)
github.bot_login and trigger.mention_login were read raw in the require_mention precedence chain, so a whitespace-only value (e.g. " ") never fell through to the working fallback the chain documents - Python truthiness lets " " win an `or` chain over agent.name or the operator default. The third link (channels.github.default_mention_login) was already correctly normalized and pinned by test_operator_default_blank_string_treated_as_none; this closes the gap for the other two by normalizing GitHubTriggerConfig.mention_login and GitHubAgentConfig.bot_login once, at the config layer, via a field_validator mirroring the pattern already used elsewhere in the config package. |
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3bc3af2530
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fix(runs): close multi-worker ownership gaps in run atomicity (#3948) (#4003)
* feat(runs): cross-process run ownership with lease + reconciliation (#3948) Implements work items 2 and 3 of the multi-worker P0 plan (docs/multi_worker.md). Work item 1 (Postgres startup gate, #3960) already landed; this PR makes run creation race-safe across worker processes and lets Postgres deployments recover orphaned inflight runs from crashed workers without mis-marking live runs as orphans. Work item 2 — cross-process atomic create_or_reject - Alembic revision 0004_run_ownership adds runs.owner_worker_id, runs.lease_expires_at, idx_runs_lease, and a partial unique index uq_runs_thread_active (one pending/running run per thread). The index is declared on RunRow.__table_args__ with sqlite_where + postgresql_where (mirroring uq_channel_connection_active_identity) so the empty-DB bootstrap path — which runs Base.metadata.create_all + alembic stamp head without executing any revision's upgrade() — also lands it on fresh deployments. Migration 0004 additionally creates it idempotently for legacy/versioned upgrades. - RunRepository.create_run_atomic is the new atomic primitive: - reject: INSERT directly; the partial unique index catches duplicate active runs; the manager surfaces the result as ConflictError. - interrupt/rollback: SELECT FOR UPDATE the conflicting rows, skip rows whose lease is still valid AND owned by another live worker (raise ConflictError — the INSERT would have failed on the index anyway, and a retry loop cannot make progress), cancel the rest in the same transaction, then INSERT the new row. Rows owned by this worker are interruptible regardless of lease state. - RunManager.create_or_reject dispatches to the store under the existing local lock; same-worker in-memory cancellation runs after the store commit succeeds. MemoryRunStore mirrors the same semantics for tests and database.backend=memory. Work item 3 — lease heartbeat + Postgres reconciliation - RunOwnershipConfig (lease_seconds=30, grace_seconds=10, heartbeat_enabled=false by default), registered as startup-only in reload_boundary.STARTUP_ONLY_FIELDS because the heartbeat background task is created once in langgraph_runtime() and is not rebuilt on config.yaml edits. - When heartbeat_enabled, each worker renewes leases on its own active runs with interval = lease_seconds / 3. The loop is bounded and stop-event-cancellable so shutdown is prompt. - reconcile_orphaned_inflight_runs now runs on every backend — the sqlite-only gate in app/gateway/deps.py is dropped in the same commit so there is no window where Postgres would mis-mark live Worker A runs as orphans. Reconciliation errors only runs whose lease is NULL (legacy pre-ownership rows) or older than grace_seconds. In single-worker mode (heartbeat off, NULL leases) all inflight rows reclaim immediately, preserving the pre-ownership recovery latency. - Heartbeat starts AFTER startup reconciliation and stops BEFORE the in-flight run drain on shutdown so the two cannot race. GATEWAY_WORKERS=1 with heartbeat_enabled=false keeps current behavior. Verified: 170 related tests + full backend suite (minus Docker-gated live tests) green; ruff check + ruff format clean. * fix(runs): tighten unique-violation handling and document clock-sync budget Three follow-up fixes to the cross-process run ownership work in #3948, surfacing during review. 1. _is_unique_violation: detect by driver-native signal, not message text The previous substring heuristic ("unique" + "violat", or "duplicate") missed SQLite's actual phrasing "UNIQUE constraint failed: <table>.<index>" — SQLite says "failed", not "violates", and never "duplicate". On SQLite the detector returned False, the reject path re-raised the raw IntegrityError, and clients saw HTTP 500 instead of ConflictError 409. The conversion is the load-bearing piece of the "store is source of truth" design but was untested — every atomic test used MemoryRunStore, which raises ConflictError directly and never reached this branch. Now prefers driver-native signals: psycopg pgcode/sqlcode "23505" and sqlite3 sqlite_errorcode SQLITE_CONSTRAINT_UNIQUE (reachable through SQLAlchemy IntegrityError.orig). Message matching stays as a fallback with SQLite's exact "unique constraint failed" phrase added. 2. interrupt/rollback: convert exhausted-retry IntegrityError to ConflictError The reject branch converts unique violations to ConflictError. The interrupt/rollback retry loop did not — on the 3rd attempt it re-raised the raw IntegrityError, leaking HTTP 500 for the same race condition that reject surfaces as 409. Symmetric conversion added after the loop; callers now see a consistent ConflictError regardless of strategy. 3. Document clock-sync requirement for multi-worker lease reconciliation reconcile_orphaned_inflight_runs compares another worker's UTC lease_expires_at against this worker's datetime.now(UTC). The only skew budget is grace_seconds (default 10s) — worst case, with the owning worker's heartbeat just about to fire, a peer whose clock is more than ~grace_seconds ahead can mis-reclaim a still-live run as an orphan. Documented in RunOwnershipConfig's docstring (with the math) and in config.example.yaml (with operational guidance), so operators in NTP-poor environments know to raise grace_seconds. Default unchanged: 10s is reasonable for NTP-synced K8s/cloud, and bumping it would slow recovery of genuinely dead workers (lease_seconds + grace_seconds from last heartbeat to reclaim). Tests: - test_create_run_atomic_reject_propagates_conflict_on_unique_violation: end-to-end against a real SQLite-backed RunRepository, pre-inserts an active run, asserts reject-strategy create surfaces as ConflictError rather than raw IntegrityError. - test_is_unique_violation_detects_real_sqlite_integrity_error: unit test for the detector against a real SQLite-raised IntegrityError; asserts driver-level sqlite_errorcode is SQLITE_CONSTRAINT_UNIQUE. - test_interrupt_exhausted_retries_surface_as_conflict_error: pins the symmetric 409 behavior after the retry loop exhausts. Verified: ruff check + ruff format clean; multi-worker + run_repository + owner_isolation + reload_boundary suites green. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(runs): close multi-worker ownership gaps in lease heartbeat and unique-violation detection Five code-review fixes from docs/multi_worker.md: 1. Drop unused ``claim_inflight_runs`` primitive — no caller anywhere. ``create_run_atomic`` does its own inline claim (SELECT FOR UPDATE + cancel) inside the INSERT transaction; a separate claim primitive would split that into two transactions and open a claim→INSERT race. Removes ~40 lines across base.py / memory.py / sql.py plus the unused ``now_iso`` parameter, freeing future RunStore implementations from providing it. 2. Broaden ``_renew_leases`` filter to renew pending/running runs owned by this worker even when ``record.task is None``. The previous ``task is not None`` requirement skipped the brief window between ``create_run_atomic`` inserting the row and the worker spawning the agent task; under event-loop load that window can approach ``lease_seconds``, after which peer reconciliation marks the run ``error`` (visible) or a peer's ``create_or_reject("interrupt")`` silently kills the queued run. Filter now: ``task is None or not task.done()``. 3. Document the unsynchronised ``record.lease_expires_at = new_expiry`` write. ``lease_expires_at`` is the only field on an existing record this path mutates; ``set_status`` / ``_persist_status`` touch other fields, so there is no concurrent writer to race against. Re-acquiring ``self._lock`` would serialise unrelated run mutations for no gain. 4. Gate ``_is_unique_violation`` message fallbacks on ``isinstance(current, (SAIntegrityError, sqlite3.IntegrityError))``. The driver-code path (pgcode/sqlite_errorcode) remains load-bearing; substring fallbacks are now belt-and-suspenders only for cases where the driver attribute isn't reachable through the cause chain. Without the gate, any application exception whose ``str()`` happens to contain "duplicate key" / "unique" + "violat" (CHECK constraint, validation error) would silently surface as HTTP 409 instead of 500. 5. Route ``update_lease`` through ``_call_store_with_retry`` for consistency with every other store call, and wrap ``await self._renew_leases()`` in ``_heartbeat_loop`` with ``except Exception: logger.warning(...)``. Previously a transient error from the snapshot path or an unexpected exception would kill the heartbeat task silently — after which no lease is ever renewed again and every active run eventually looks orphaned. ``except Exception`` lets ``CancelledError`` (BaseException since 3.8) propagate so shutdown cancellation still works. Regression tests: - ``test_heartbeat_renews_pending_run_before_task_is_spawned`` - ``test_is_unique_violation_does_not_misclassify_application_exception`` Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(runs): harden multi-worker migration, memory atomicity, and tz-naive lease comparison Three follow-up fixes to the multi-worker run ownership work: - migration 0004 dedupe pass: cancel superseded duplicate active rows per thread before creating the partial UNIQUE index ``uq_runs_thread_active`` so dirty DBs (Postgres deployments that had reconciliation skipped by the old sqlite-only gate, or any env that ran GATEWAY_WORKERS>1 before this PR) do not abort the alembic upgrade and block gateway startup. Keeps the newest active row per thread, marks the rest as error with an explanatory message. - MemoryRunStore.create_run_atomic interrupt/rollback path: split the single- pass loop into two passes (collect candidates, validate, then mutate) so a ConflictError raised on a later candidate does not leave earlier candidates half-interrupted. Mirrors the SQL store's transactional rollback semantics; the entire test_multi_worker_run_ownership.py suite runs against memory so this divergence was giving false confidence. - RunRepository.create_run_atomic interrupt path: coerce tz-naive ``row.lease_expires_at`` to UTC before comparing against the aware ``cutoff``. SQLite drops tzinfo on read despite ``DateTime(timezone=True)`` (this file's own comment acknowledges it), so the Python-side comparison raised ``TypeError: can't compare offset-naive and offset-aware datetimes`` whenever heartbeat was enabled on SQLite and a lease was non-NULL. Defaults (heartbeat off -> leases always NULL) masked it, but there was no guard against the combination. Follows the existing "naive is UTC" convention from ``coerce_iso``. Each fix ships with a regression test pinning the behavior. Co-Authored-By: heart-scalpel <heart-scalpel@users.noreply.github.com> Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(runs): enforce heartbeat for multi-worker, fix memory-store datetime comparison, lazy-import ConflictError in store layer Three fixes from code review: 1. Extend the startup gate (GATEWAY_WORKERS>1) to also require run_ownership.heartbeat_enabled=true. Without heartbeat every run has a NULL lease, so reconciliation treats all inflight rows as orphans and Worker B would kill Worker A's live runs on every rolling update or scale-up. 2. Fix MemoryRunStore.list_inflight_with_expired_lease to parse created_at as datetime instead of ISO string lexical comparison, and handle tz-naive lease values uniformly with the SQL store. 3. Store layer (sql.py, memory.py) now lazy-imports ConflictError inside create_run_atomic instead of importing from the higher RunManager layer at module level. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(runs): add owner check to update_lease, document create() assumption, restore deleted comment - update_lease (SQL + memory) now requires owner_worker_id match in WHERE clause so the primitive is safe by construction against misuse - create() docstring notes it bypasses atomic create_run_atomic and assumes no active run exists for the thread - restore explanatory comment in MemoryRunStore.aggregate_tokens_by_thread that was dropped in an earlier commit Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(runs): add psycopg3 sqlstate detection and periodic orphan reconciliation - _is_unique_violation now checks sqlstate attribute (psycopg3 uses this instead of pgcode). On Postgres, the only supported multi-worker backend, detection was falling through to the message-substring fallback. - _heartbeat_loop now runs reconcile_orphaned_inflight_runs every 3rd cycle (every lease_seconds) to catch orphans whose lease expires between pod restarts. Single-worker deployments are unaffected (heartbeat off). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com> Co-authored-by: heart-scalpel <heart-scalpel@users.noreply.github.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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c2002d9fac
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feat(memory): add memory tool sets (#4023)
* feat: add memory-as-tool mode alongside existing middleware mode - Add memory.mode config field (middleware|tool, default middleware) - Add search_memory_facts() for case-insensitive fact lookup - Add 4 memory tools: memory_search, memory_add, memory_update, memory_delete - Wire mode gating in factory.py and lead_agent/agent.py - 256 memory tests passing, zero regressions * fix: harden tool-mode memory scoping and docs * fix: address memory tool mode review feedback * fix(memory): address tool mode review feedback * fix: update config_version to 22 in values.yaml |
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9097642658
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feat(memory): add memory consolidation to synthesize fragmented facts (#3996)
* feat(memory): add memory consolidation to synthesize fragmented facts When a fact category accumulates many individual entries, the LLM reviews them during the normal memory-update call (same invocation, no extra API cost) and decides whether groups of related facts can be synthesized into a single richer fact. This completes the memory lifecycle: extraction → guaranteed injection → staleness review → consolidation. - Select fragmented categories by min-facts threshold, surface the most fragmented groups first; prompt-layer caps aligned with apply-layer guardrails so the LLM never sees groups it cannot act on - Cap consolidated confidence at source maximum to prevent inflation; reject results below fact_confidence_threshold - Double-consume protection prevents a fact from being merged into multiple consolidation targets - Feature-gated at both prompt and apply time with per-cycle safety caps - Add 26 tests covering candidate selection, normalization, apply guardrails, and prompt integration * fix(memory): address consolidation correctness issues from PR review Six fixes based on maintainer review of #3996: 1. Deduplicate sourceIds in normalization — ["f1","f1"] previously bypassed the ≥2-distinct-sources check; dict.fromkeys collapses it to ["f1"] which is correctly rejected. 2. Run consolidation after max_facts trim — previously, sources were deleted then the merged fact could be evicted by the trim, leaving no record of either. Moving consolidation last ensures source facts exist in the post-trim index before removal. 3. Fix count= attribute in consolidation prompt — advertised the full category size but listed only max_sources IDs; now uses min(len(group), max_sources) to match what the LLM can act on. 4. Exempt staleness_protected_categories from consolidation candidates — mirrors the existing staleness-review contract so correction facts are never surfaced for merging. 5. Strip and default category in consolidation normalization — " " or " preference " are now normalised, matching _normalize_memory_update_fact. 6. Propagate sourceError from source facts into consolidated fact — correction context is no longer silently lost on merge. * fix(memory): add apply-time guardrails and tests for consolidation P1: mirror the staleness-pass defense-in-depth pattern — build allowed_source_ids from _select_consolidation_candidates at apply time so a protected-category or below-threshold fact proposed by the LLM is rejected regardless of model behavior. P2a: test that LLM-returned confidence is capped at max source confidence and that a capped result below fact_confidence_threshold is rejected. P2b: test that factsToConsolidate with consolidation_enabled=False is a no-op at apply time (35 tests, all pass). * fix(memory): address three correctness issues from second review round 1. Default consolidation_enabled=False — consolidation is lossy (source content is permanently replaced, only consolidatedFrom IDs preserved); new lossy features default to off. config.example.yaml updated to match. 2. Unify confidence coercion between prompt and apply — _build_consolidation_section now calls _coerce_source_confidence(fact) instead of an inline 0.0-default coercion, so a null-confidence fact renders with 0.50 in the LLM prompt and is capped at 0.50 at apply time (same value, same function). 3. Preserve staleness clock on merge — consolidated fact now carries the newest source's createdAt (not now) so aged information does not gain a fresh staleness-review window just by being consolidated; consolidatedAt is added as an explicit audit field. Three regression tests added (default=false, null-confidence consistency, createdAt policy); all guardrail tests now set consolidation_enabled=True explicitly so they test the guardrail, not the feature flag. 38 tests pass. * fix(memory): harden createdAt comparison and confidence handling 1. createdAt max via _parse_fact_datetime — replaces string max() which crashes on non-string createdAt (numeric unix timestamps) and sorts Z/+00:00 mixed formats incorrectly. Mirrors how staleness computes age. 2. Remove dead min(..., 1.0) — _coerce_source_confidence already clamps each source confidence to [0, 1], so max(source_confidences) ≤ 1.0 by contract; the outer min could never bind. 3. Clamp raw_llm_conf to [0, 1] before applying the source cap — out-of- range values like 1.5 are safe today (pinned by the cap) but defensively clamped first so the invariant holds even if the cap is ever loosened. 4. Doc: expand the apply-time guardrails comment to call out the protected- category exclusion via allowed_source_ids — this is the central safety property ("explicit user feedback is never silently merged away"). 5. Test: add test_confidence_fallback_to_max_source_when_llm_omits_field covering the else-branch (LLM omits confidence → uses max_source_conf). 6. Fix lint: reorder imports in test file (stdlib before third-party). 39 tests, all pass. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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266883b3dd
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fix(subagents): inherit summarization middleware and harden step capture (#3875 Phase 3) (#4009)
Phase 3 of #3875 — subagents previously inherited none of the lead's context-compaction, so a deep-research subagent (max_turns up to 150) could accumulate >1M cumulative input before max_turns/timeout/token_budget engaged, even after Phase 2's budget capped the pathological tail. - Gate the subagent runtime chain on the SAME ``app_config.summarization.enabled`` switch the lead reads (per maintainer guidance in #3875), via the shared ``create_summarization_middleware`` factory. One config covers both chains; no separate ``subagents.summarization`` field. No-op when summarization is off (factory returns None). - ``skip_memory_flush=True`` on the subagent path: the factory otherwise attaches ``memory_flush_hook`` (when memory.enabled), which flushes pre-compaction messages into durable memory keyed by thread_id. Subagents share the parent's thread_id, so without skipping the hook a subagent's internal turns would pollute the PARENT thread's durable memory (#3875 Phase 3 review point). - Harden ``capture_new_step_messages`` to tolerate history contraction: summarization rewrites the messages channel via ``RemoveMessage(id=REMOVE_ALL_MESSAGES)``, shrinking len(messages) below the step-capture cursor. Without a reset, every step appended after the compaction point was dropped until length overtook the stale cursor (#3845 interaction, maintainer validation point (a)). Cursor now resets to the new tail; id/content dedup prevents re-emitting pre-compaction steps. - Couple the DEFAULT token-budget ceiling to ``summarization.enabled`` (#3875 Phase 3 review point): 1M when compaction is on, 2M when off (preserves Phase 2's deliberate headroom for summarization-off deep-research runs that can exceed 1M). A user-set budget (global or per-agent) always wins regardless of the switch. Flagged tunable. The summarization middleware does not implement ``consume_stop_reason``, so the Phase 2 guard-cap stop-reason channel is unaffected. Refs: https://github.com/bytedance/deer-flow/issues/3875 |
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ebc09ce130
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feat(mcp): auto-promote deferred MCP tools from routing hints (#4019)
* feat(mcp): auto-promote deferred MCP tools from routing hints
When tool_search.enabled=true defers MCP tool schemas, PR1 routing hints
still require the model to spend a tool_search discovery round trip before
it can call the tool the routing metadata already points at. This adds a
McpRoutingMiddleware that matches the latest user message against PR1
routing keywords and promotes the matching deferred schemas before the
model call, removing that round trip.
Design (soft routing, opt-in, additive):
- Matches only the latest real HumanMessage (shared is_real_user_message
helper, reused by SkillActivationMiddleware so the two cannot drift);
case-insensitive substring match, no tokenizer dependency.
- Ordering: priority desc, then tool name asc; capped by the new global
tool_search.auto_promote_top_k (default 3, clamped 1..5). Does not add or
consume a per-tool auto_promote_top_k (PR1 schema unchanged); a per-tool
value is ignored with a DEBUG note.
- Returns a plain {"promoted": ...} state update (not a Command) and relies
on ThreadState.merge_promoted for union/dedupe, so auto-promote and a
model-triggered tool_search converge on the same catalog hash.
- Installed before DeferredToolFilterMiddleware on every deferred-tool path
(lead agent, subagent, embedded client, webhook via shared builders);
a construction-time assert rejects the reversed order. catalog_hash is
None / no routing index is a complete no-op, so bootstrap and ACP skip it.
- Privacy: never executes tools, never promotes policy-filtered tools, adds
no routing keywords or matched tool names to trace metadata or INFO/WARN
logs.
No behavior change when tool_search.enabled=false.
Tests: index construction, matching semantics, middleware state updates,
same-cycle deferred-filter interaction, lead/subagent/embedded-client
builder wiring + order invariant, config clamping, config.example.yaml
parseability, and privacy assertions.
* refactor(mcp): address auto-promote review nits
- executor: access app_config.tool_search.auto_promote_top_k directly to match
the lead-agent and embedded-client paths (drop the over-defensive getattr that
masked missing config); update the subagent test mock to carry tool_search.
- tool_search / mcp_routing_middleware: cross-reference the duplicated routing
priority/keyword normalization between the builder and the middleware's
defensive _normalize_index so they cannot silently drift.
- MCP_SERVER.md: document that auto-promote keyword matching is a case-insensitive
substring test (not word-boundary), advising distinctive keywords.
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dc38d2d003
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perf(boxlite): add benchmark-driven warm-pool reclaim tuning (#4001)
* bench: add provider-agnostic sandbox benchmark with BoxLite warm pool results - scripts/bench_sandbox_provider.py: CLI for measuring acquire/run/release across providers, scenarios, workloads, and concurrency levels - scripts/summarize_bench.py: JSONL aggregation with p50/p95/p99 tables - bench_results.jsonl: 110 turns across 7 scenarios on real BoxLite 0.9.7 Key findings: cold acquire: ~860ms warm reclaim: ~14ms (60x speedup) release: ~0ms warm_hit_rate: 95% (warm_same_thread) * perf(boxlite): skip health check for recently-released warm pool boxes Boxes released within health_check_skip_seconds (default 5.0s) are promoted directly without the ~14ms echo-ok round-trip. A VM alive seconds ago is overwhelmingly likely to still be alive. Add sandbox.health_check_skip_seconds config option. Set to 0 to always health-check (old behaviour). Benchmark (warm_same_thread, noop, 20 iters): acquire p50: 14.9ms → 0.0ms total p50: 29.9ms → 14.0ms * chore: move benchmark scripts into backend/scripts/benchmark/ * fix: address BoxLite benchmark review findings * fix(boxlite): only skip warm reclaim checks for released boxes * fix(benchmark): keep BoxLite shim workaround off the event loop * fix(boxlite): invalidate dead boxes from command path * test(boxlite): cover skip window and invalidation edge cases * fix(boxlite): treat sandbox-has-been-closed as terminal in _exec * fix(boxlite): harden warm-pool reclaim and benchmark accounting * fix(boxlite): validate warm-pool reclaims by default * fix(config): expose boxlite health-check skip setting * fix(boxlite): tighten failure classification and benchmark workaround * Update config_version to 21 in values.yaml --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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5ba25b06ec
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feat(mcp): add MCP routing hints (#4004)
* feat: add MCP routing hints * test: isolate mcp routing prompt config * fix: address mcp routing review feedback |
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c9fb9768d4
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fix(subagents): unify guardrail caps on additive stop_reason + add token_budget (#3875 Phase 2) (#3980)
Phase 2 of #3875. Two guardrail axes can end a subagent run early — the turn budget (GraphRecursionError) and the token budget (TokenBudgetMiddleware) — and both now surface *why* through one additive `subagent_stop_reason` field instead of a status enum. This completes and course-corrects Phase 1 (#3949), which shipped the turn-budget cap as a `max_turns_reached` status enum. The agreed Phase 2 design replaces that enum with an optional `stop_reason` field (token_capped | turn_capped | loop_capped): a new enum value would break v1 consumers, while an additive field is ignored by older frontends and ledger readers. `max_turns_reached` and SubagentStatus.MAX_TURNS_REACHED are removed. - subagents.token_budget config (default enabled, 2,000,000 tokens, warn 0.7) with per-agent override; TokenBudgetMiddleware is now attached in build_subagent_runtime_middlewares so the cost-ceiling backstop engages for every subagent. The hard-stop does not raise — it strips tool_calls and lets the run finish with a final answer, recording the cap on a per-run consume_stop_reason() accessor. - executor.py: on normal completion it reads consume_stop_reason() and stamps completed + token_capped when the budget fired; on GraphRecursionError it recovers the last AIMessage partial (completed + turn_capped) or, if nothing usable survived, failed + turn_capped. SubagentResult gains stop_reason. - status_contract.py / contracts/subagent_status_contract.json (v2) / frontend subtask-result.ts: additive subagent_stop_reason field, pinned by test_status_values_match_contract / test_stop_reason_values_match_contract. - task_tool.py + delegation_ledger.py: drop the max_turns_reached paths; the ledger captures stop_reason and renders model-facing "capped" guidance so the lead reuses a capped completion knowingly. The 2,000,000-token default is deliberately loose (tighten to taste) — it would have roughly halved the reported 4.4M burn while leaving legitimate deep-research runs (max_turns=150) room. Subagent summarization is a follow-up. |
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01dc067997
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feat: add composer input polishing (#3986)
* feat: add composer input polishing * Revert "Merge branch 'main' into feat/input-polish" This reverts commit 5b6ceccf0db3092bc62fde3b05e7816829601756, reversing changes made to 45fbc57fef5fa5fd878cf0176c37f3e3bc7ebef6. * Merge main into feat/input-polish * style(frontend): format input helper polish guard * fix(input-polish): address composer polish review findings Frontend - Add a cancel affordance to the in-flight polish status pill that calls abortInputPolishRequest(), so a slow/hung provider no longer hard-locks the composer for up to stream_chunk_timeout with a page reload (and draft loss) as the only escape. - Reset promptHistoryIndexRef/promptHistoryDraftRef when a rewrite is applied (and on undo), so a stale history-browse index can no longer let the next ArrowDown silently overwrite the polished draft. - Disable polishing while an open human-input card is present, matching the frontend/AGENTS.md rule that composer entry points defer to the card so card-reply metadata is preserved. - canPolishInput now reuses parseGoalCommand/parseCompactCommand instead of a third hardcoded reserved-command regex, and drops the phantom /help entry (no /help parser exists in the composer), so future builtins only need to be taught to the existing parsers. Backend - Extract the non-graph one-shot LLM path (build model + inject Langfuse metadata + system/user invoke + text extract) into deerflow.utils.oneshot_llm.run_oneshot_llm, shared by the input-polish and suggestions routers so tracing-metadata and invocation shape cannot drift between the two copies. - strip_think_blocks gains truncate_unclosed (default True, preserving the suggestions/goal JSON-prep behavior); input polish passes False so a draft that legitimately contains a literal <think> substring is no longer truncated into a partial rewrite or a spurious 503. - Validate the empty-check and max_chars boundary against the same stripped view of the draft that is sent to the model, so the user-facing length boundary and the model input can no longer disagree. Tests / docs - Backend: literal-<think> preservation, whitespace-only rejection, and normalized-length/model-input agreement cases; suggestions tests repoint the create_chat_model patch to the shared helper module. - Frontend: helper unit tests updated for the /help/reserved-command change; a new Playwright case covers cancelling an in-flight polish request. - backend/AGENTS.md documents the shared one-shot helper and the polish normalization/think-tag behavior. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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658c39ccf7
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feat(skills): Add native SkillScan phase 1 for skills (#3033)
* Add phase 1 skill static scanning * Rework SkillScan phase 1 as native scanner * refactor(skillscan): align phase 1 with trimmed RFC contract - SecurityFinding: 7 fields (rule_id, severity, file, line, message, remediation, evidence); category/analyzer derive from the rule_id prefix, confidence/column/fingerprint/metadata removed - scan_archive_preflight()/scan_skill_dir() are pure functions: no ScanContext, no policy schema; CRITICAL-blocks is a code constant and skill_scan.enabled is applied by enforce_static_scan()/callers - secret-* evidence is redacted before findings leave the scanner - de-dup keys on (rule_id, file, line) so repeated occurrences keep distinct locations for agent self-correction - cloud-metadata detection consolidated into network-cloud-metadata - nested zip members get a one-level stdlib magic-byte peek; an executable member escalates package-nested-archive to CRITICAL - install metadata sidecar removed (Phase 7 decides if it is needed) - rule specs moved next to their analyzers; skillscan/rules/ removed - tests updated + new anchors: redaction, dedup lines, nested-zip escalation, single cloud-metadata rule, bundled-skill zero-CRITICAL * fix(skillscan): tighten reverse-shell/secret/archive scan rules from review Address PR #3033 review feedback on the native SkillScan analyzers: - Reverse-shell false positives: split shell detection by signal strength (/dev/tcp/, nc -e stay CRITICAL; bash -i, mkfifo -> new HIGH shell-reverse-shell-heuristic, warn->LLM). The Python check is now AST-anchored on real socket.socket/os.dup2/subprocess call sites instead of raw-text substring matching, so prose/docstrings no longer hard-block. - Secret evidence: _redact_secret_evidence returns [redacted] with no secret bytes (was value[:6], which leaked 2 real token bytes past the prefix). - Archive DoS: cap outer archive member count (_MAX_ARCHIVE_MEMBERS=4096); scan_archive_preflight early-aborts with a package-too-many-members CRITICAL finding (routes through the existing blocked->400 fail-closed path). - shell-destructive-command: broaden the rm -rf matcher to sensitive system roots (/home, /usr, /*, --no-preserve-root /) while leaving safe subpaths unflagged. - Dead code: collapse _decode_text_for_analysis to a single decode path and drop the unused _TEXT_SUFFIXES set and _has_text_shebang helper. - local_skill_storage: document why the host_path branch keeps app_config possibly-None (lazy kill-switch resolution; avoids eager get_app_config in config-free environments such as CI). Tests: new negative/positive coverage in test_skillscan_native.py. Full backend suite 6616 passed, 26 skipped. |
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fd41fdb065
|
feat(middleware): add structured tool result meta and tool-progress state machine (#3601)
* feat(middleware): add structured tool result meta and tool-progress state machine
feat:
- Add tool_result_meta.py: ToolResultMeta dataclass (status/error_type/retryable/
recoverable_by_model/recommended_next_action/source) + normalize_tool_result and
stamp_exception_meta utilities; classifies every ToolMessage regardless of path
- Add ToolProgressMiddleware: per-(thread_id, tool_name) state machine ACTIVE →
WARNED (hint injected as HumanMessage) → BLOCKED (call short-circuited); Jaccard
near-duplicate detection for repeated successful results; auth/config/internal
errors bypass WARNED and go directly to BLOCKED; LRU-bounded thread state store
- Add ToolProgressConfig: all thresholds configurable (stagnation_threshold,
warn_escalation_count, jaccard_similarity_threshold, exempt_tools, etc.);
disabled by default (enabled: false)
- Wire ToolProgressMiddleware as outer wrapper around ToolErrorHandlingMiddleware
in _build_runtime_middlewares so it receives results already carrying
deerflow_tool_meta
fix:
- ToolErrorHandlingMiddleware now calls stamp_exception_meta on exception path and
normalize_tool_result on success path so every ToolMessage carries deerflow_tool_meta
test:
- Add test_tool_result_meta.py: 26 cases covering all classification paths,
stamp_exception_meta, and normalize_tool_result Command passthrough
- Add test_tool_progress_middleware.py: 27 cases including full async paths,
Jaccard duplicate detection, LRU eviction, hint injection, and malformed meta
passthrough
- Extend test_tool_error_handling_middleware.py: middleware ordering invariant and
meta stamping on exception
docs:
- Add tool_progress section to config.example.yaml with all fields and descriptions
- Update CLAUDE.md middleware chain documentation (entries 8-9)
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* fix(middleware): recoverable errors stay WARNED; fix auth keyword shadowing
fix:
- WARNED is terminal for recoverable_by_model=True errors (no_results, not_found,
permission); hint re-injected on each problem call instead of escalating to
BLOCKED, so the model can retry with different parameters (e.g. fresh query,
new URL) without being hard-blocked by a prior stagnation count.
Non-recoverable (rate_limited, transient) still escalate WARNED → BLOCKED
after warn_escalation_count more problems; auth/config/internal remain
immediately BLOCKED.
- Remove bare "api key" keyword from auth classification rule so "no api key
configured" correctly classifies as config (not auth), producing the accurate
block-reason text for the model.
docs:
- CLAUDE.md: document all three ToolProgressMiddleware transition paths
- config.example.yaml: update inline state-machine comment to match new paths
test:
- test_recoverable_errors_stay_warned_indefinitely: WARNED never escalates for
recoverable errors regardless of how many problem calls accumulate
- test_recoverable_error_re_injects_hint_past_escalation: hints continue past
the escalation zone for recoverable errors
- test_no_api_key_is_config_not_auth: regression guard for keyword shadowing fix
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* fix(tool_result_meta): add JSON error extraction and fix source classification
fix:
- Fix non-standard error path: source was "exception" but should be "tool_return"
- Add _extract_json_error_text to isolate JSON error fields from noisy JSON bodies
(e.g. Brave Search {"error": "...", "query": "..."} — query keywords no longer
pollute error classification)
- Add success-path JSON extraction to catch tools that return HTTP 200 with a JSON
error body (status="success" but {"error": "API key not configured"})
- Add _SEMANTIC_ZERO_ERROR_STRINGS frozenset to suppress false positives from tools
that use {"error": "none"} / {"error": "null"} / {"error": "ok"} as success signals
- Document that stamp_exception_meta always overwrites existing TOOL_META_KEY
(exception-derived classification is authoritative over tool return-time stamps)
test:
- Add parametrized regression tests for all semantic-zero error strings
- Add tests for non-standard error path source field
- Add tests for JSON error extraction (nonstd, success-path, numeric, falsy values)
- Correct test comment for test_no_api_key_is_config_not_auth
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* fix(tool_progress_middleware): fix 6 bugs, add terminal guard and structured logging
fix:
- H1: fix exempt_tools empty-set silently ignored — use `is not None` instead of
truthiness check so ToolProgressConfig(exempt_tools=set()) correctly disables all
exemptions
- Fix _get_block_reason creating phantom LRU entries via _get_state (write path);
now uses dict.get + explicit move_to_end on read path only
- Fix _pending memory leak: LRU eviction of _phase_states now synchronously removes
all (evicted_thread, *) keys from _pending
- Fix _assess_and_transition missing terminal guard for blocked state — a recoverable
error result could silently demote blocked → warned in concurrent-race scenarios;
early return preserves terminal semantics
- Fix recent_word_sets window: stored [-5:] but is_near_duplicate only compared [-3:];
align to [-3:] and change type list→tuple (prevents accidental in-place mutation
across dataclasses.replace shallow copies)
- Fix _format_hint missing "success" key and "continue" action: Jaccard near-duplicate
results produced the generic fallback instead of a specific actionable message
feat:
- Add structured state-transition logging (ACTIVE/WARNED/BLOCKED transitions, blocked
intercepts, hint injection debug log)
test:
- Add regression tests for all 6 bug fixes (H1, phantom LRU, pending leak, terminal
guard, window alignment, format_hint near-dup)
- Add Jaccard near-threshold boundary test (7/9 vs 8/9 Jaccard)
- Add production min_words=10 skip test for short content
- Add exempt_tools empty-set and None round-trip tests
- Add _augment_request deduplication test
- Add before_agent current-run preservation test
- Add structured logging tests (WARNED/BLOCKED/ACTIVE/intercepted/debug)
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* chore(config): remove unused backward-compat fields from ToolProgressConfig
Remove max_calls_per_intent and window_size fields that were marked
"Retained for backward compatibility; not used by the current state machine"
when the state machine was introduced. Pydantic v2 ignores unknown fields
by default, so existing config.yaml files with these keys remain valid.
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* fix(tool_progress): address PR review and multi-agent review findings
fix:
- Remove <80-char length gate for partial_success; only _PARTIAL_MARKERS now
- Add word-boundary regex for numeric HTTP codes (401/403/404/500) to avoid
false positives like "500ms" or "4010 rows" triggering hard-block
- Add "task" to default exempt_tools (delegation primitive, not a search tool)
- Remove move_to_end() from _get_block_reason read path; blocked threads were
permanently warm in LRU, starving active threads of eviction slots
- Add _reset_blocked_states in before_agent: scope BLOCKED and WARNED states
to a single run; clear recent_word_sets so stale Jaccard windows don't cause
false near-duplicate detections in the next run
- Compute word_set() lazily (only for success results); cap content at 8192
chars to bound memory and CPU cost on large tool results
- Remove unused retryable field from ToolResultMeta (no consumer existed)
- Add isinstance-based ordering guard and warning log for missing meta
- Fix JSON-without-error-key fallback: use _UNKNOWN_ERROR instead of
classifying incidental field values (e.g. {"user_id": 401} → auth → stop)
- Fix _extract_json_error_text: use json.dumps for dict/list error fields
instead of str() which produced Python repr matching config rules spuriously
- Add "no results found"/"no content found"/"no images found" to _PARTIAL_MARKERS
so success responses with empty results trigger stagnation detection
- Fix immediate-block path to increment consecutive_problems (was left at 0)
- Fix _queue_assessment: skip phantom _pending entries for evicted threads
- Bump config_version 13→16 (upstream added 14/15; tool_progress is additive)
test:
- Update test_short_content_is_partial → test_short_terse_success_is_not_partial
- Add parametrized test_numeric_keyword_word_boundary (8 positive + negative cases)
- Add test_before_agent_resets_blocked_states_for_new_run (strengthened assertions)
- Add test_before_agent_resets_warned_states_for_new_run
- Add test_missing_meta_on_non_exempt_tool_emits_warning
- Add test_middleware_ordering_guard_raises_when_progress_is_inner
- Add test_auth_error_immediately_blocked asserts consecutive_problems == 1
- Add tests for JSON-without-error-key, dict error field, no-results partial_success
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(tool_progress): address second PR review — perf, architecture doc, concurrency note
fix:
- Extract content.lower() once before _PARTIAL_MARKERS check in normalize_tool_message;
previously computed up to 7× per call inside the generator (once per marker)
docs:
- Add division-of-labor paragraph to ToolProgressMiddleware module docstring explaining
coexistence with LoopDetectionMiddleware: result-quality guard (per-tool BLOCK) vs
call-pattern guard (whole-turn hard-stop); no shared state, no double-stop risk
- Add threading.Lock comment explaining why asyncio.Lock is not used (short critical
sections, must also protect sync wrap_tool_call path from subagent executor threads)
- Update backend/CLAUDE.md entry 8 with division-of-labor summary; fix entry 9
(remove stale retryable field reference, add missing recoverable_by_model/source)
test:
- Add test_tool_progress_and_loop_detection_coexist_without_interfering: drives both
middlewares to WARNED state simultaneously, verifies independent state, independent
hint queues, and no cross-contamination; uses snapshot copy for final assertion
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(tool_progress): reset all tool states at run boundary; fix semantic-zero test validity
fix:
- _reset_run_states (formerly _reset_blocked_states) drops the phase filter and
resets all tracked (thread, tool) pairs unconditionally at before_agent; ACTIVE
tools with sub-threshold consecutive_problems or cached recent_word_sets no longer
bleed into the next run, preventing spurious WARNED transitions on clean R2 calls
- test_normalize_json_semantic_zero_error_string_not_treated_as_error: replace
{error_value!r} f-string (produces invalid JSON with single quotes) with
json.dumps so _extract_json_error_text actually parses the payload and the
_SEMANTIC_ZERO_ERROR_STRINGS guard is exercised, not bypassed at json.loads
test:
- add test_before_agent_resets_active_state_consecutive_problems_and_word_sets to
lock the ACTIVE-phase run-boundary reset: drives tool to active/cp=1/ws≠() in R1,
asserts both fields are zero/empty after before_agent fires for R2
* docs(tool_progress): document intentional per-run reset vs LoopDetection thread-scoped retention
Addresses reviewer observation in PR #3601 that _reset_run_states diverges
from LoopDetectionMiddleware's cross-run scoping policy without explanation.
Expands the _reset_run_states docstring to record the intentional design
choice: ToolProgressMiddleware resets per-run because result-quality errors
(rate_limited, transient) are time-bound and may resolve between turns —
retaining stale counters would risk false-positive BLOCKED calls.
LoopDetectionMiddleware retains history across runs because call-pattern
loops are time-invariant. The divergence is by design, not oversight.
Co-Authored-By: Claude <noreply@anthropic.com>
* fix(middleware): restore ReadBeforeWriteMiddleware as outermost write gate
A merge conflict resolution had accidentally placed ReadBeforeWriteMiddleware
after ToolErrorHandlingMiddleware (inner), reversing the original intent from
b81334cc where it was the outermost write gate before ToolErrorHandling.
fix:
- Restore ReadBeforeWriteMiddleware to outer position: ReadBeforeWrite →
ToolProgress → ToolErrorHandling. Blocked writes now return immediately
without consuming a ToolProgress slot.
- Add normalize_tool_result call on blocked ToolMessages so they carry
deerflow_tool_meta (recoverable_by_model=True) even though they bypass
ToolErrorHandlingMiddleware.
test:
- Add test_blocked_write_has_deerflow_tool_meta (sync + async) to lock the
normalize_tool_result behavior on blocked writes.
- Fix chain order assertions in TestChainWiring and
test_build_lead_runtime_middlewares_chain_order_matches_agents_md.
docs:
- Renumber AGENTS.md items: 10→ReadBeforeWrite, 11→ToolProgress,
12→ToolErrorHandling; update descriptions to reflect outermost-gate design.
- Fix stale cross-reference: LoopDetectionMiddleware (item 23) → (item 25).
Co-Authored-By: Claude <noreply@anthropic.com>
---------
Co-authored-by: Claude Sonnet 4 <noreply@anthropic.com>
Co-authored-by: Cursor <cursoragent@cursor.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
|
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|
28f2b07b79
|
feat(memory): add staleness review to prune silently-outdated facts (#3860)
* feat(memory): add staleness review to prune silently-outdated facts
Facts created long ago may become outdated without any future conversation
explicitly contradicting them ("Silent Staleness"). This adds a staleness
review mechanism that surfaces aged facts to the LLM during the normal
memory-update call so it can semantically judge whether each is still valid.
- New MemoryConfig fields: staleness_review_enabled, staleness_age_days,
staleness_min_candidates, staleness_max_removals_per_cycle,
staleness_protected_categories
- New STALENESS_REVIEW_PROMPT section injected into MEMORY_UPDATE_PROMPT
when enough stale candidates exist
- New staleFactsToRemove output field in the LLM response schema
- Safety cap limits max removals per cycle, keeping lowest-confidence
entries when the LLM returns more than the cap
- Correction facts (category=correction) are protected by default
- Observability via structured logging of each removal with reason
- 32 unit tests covering parsing, selection, triggers, formatting,
normalization, safety cap, and integration
* fix(memory): add deterministic guardrail for staleness removals
_apply_updates previously removed any fact id the LLM returned in
staleFactsToRemove without verifying it was in the actual staleness
candidate set. An LLM slip could silently delete protected-category
facts (e.g. correction) or fresh facts, defeating the stated guarantee.
Now intersect stale_ids_to_remove with _select_stale_candidates before
the safety cap, making the protection independent of both model behavior
and the staleness_review_enabled flag.
Add three regression tests:
- test_protected_category_fact_refused_at_apply
- test_non_aged_fact_refused_at_apply
- test_guardrail_runs_when_staleness_review_disabled
* docs(memory): sync AGENTS.md staleness config + simplify datetime parsing
Address reviewer feedback from PR #3860:
- Add staleness workflow step and 5 new config fields to backend/AGENTS.md
- Simplify _parse_fact_datetime: drop manual Z→+00:00 replace, Python 3.12+ fromisoformat handles Z natively
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
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|
67c8ade375
|
feat(sandbox): warm pool for boxlite (#3951)
* feat: add boxlite SDK as harness dependency * test: add fake SimpleBox fixtures for BoxLite warm pool tests * feat: add deterministic sandbox_id and warm pool fields to BoxliteProvider * feat: pass deterministic sandbox_id to SimpleBox name * feat: warm pool lifecycle — park on release, reclaim on acquire - release(): parks VMs in _warm_pool with timestamp instead of closing - _reclaim_warm_pool(): health checks warm boxes via echo ok - acquire(): tries warm pool reclaim before creating new boxes - Deterministic sandbox_id ensures thread isolation * feat(boxlite): idle reaper, replica enforcement, warm-pool shutdown/reset - Task 6: idle reaper daemon thread destroys expired warm-pool boxes - Task 7: replica enforcement evicts oldest warm-pool box when at capacity - Task 8: shutdown() stops idle checker first, destroys all boxes (active+warm); reset() clears warm pool Tests: 17 passed (4 new: idle reaper, replica enforcement, shutdown, reset) * fix(boxlite): harden warm pool lifecycle races * docs(boxlite): document warm pool configuration * fix(sandbox): log warning when evicting oldest warm box is failed Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(boxlite): stop provider lifecycle on reset * fix(boxlite): make runtime an optional dependency * test(boxlite): remove unused warm pool lookup * docs(boxlite): clarify optional runtime support * refactor: extract shared WarmPoolLifecycleMixin for sandbox warm-pool lifecycle Introduce deerflow.community.warm_pool_lifecycle.WarmPoolLifecycleMixin owning idle-checker loop, warm-pool expiry, oldest-warm eviction, replica counting, and soft-cap logging. Move AioSandboxProvider and BoxliteProvider onto the mixin; keep AIO active-idle cleanup local and delegate only warm-pool expiry to the shared helper. BoxliteProvider also gains: - Prefixed box names (deer-flow-boxlite-*) for startup orphan reconciliation - _reconcile_orphans() adopting surviving boxes from a prior process - Pinned timeout forwarding: command timeout now bounds both BoxLite SDK exec(timeout=...) and the loop bridge .result(timeout) - reset() reworked as lightweight registry clear (boxes -> warm pool, no close, no idle-reaper stop, no loop close) so reset_sandbox_provider() config switches are safe; shutdown() remains the teardown path Backward-compatible: AIO DEFAULT_IDLE_TIMEOUT/DEFAULT_REPLICAS/ IDLE_CHECK_INTERVAL stay importable; Boxlite IDLE_CHECK_INTERVAL stays monkeypatchable. --------- Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> |
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15454b6fec
|
feat(skills): deferred skill discovery via describe_skill tool (#3775)
Replace the full-metadata <available_skills> system-prompt block with a compact <skill_index> (names only) and an on-demand describe_skill tool when skills.deferred_discovery: true (default: false / backward compat). New modules: - skills/catalog.py — SkillCatalog (immutable, searchable; select: has no cap, keyword/prefix search caps at MAX_RESULTS=5) - skills/describe.py — build_describe_skill_tool(catalog) closure; build_skill_search_setup() wires SkillSearchSetup into both the LangGraph agent factory (agent.py) and DeerFlowClient (client.py) Changes: - Skill @dataclass(frozen=True); allowed_tools/required_secrets list→tuple - Skill First prompt line gated on skill_names (deferred vs legacy wording) - get_skills_prompt_section: short-circuit storage on deferred path; merge user_id (upstream) + skill_names (this PR) params - describe_skill tool parameter named "name" (matches prompt wording) - select: branch removes [:MAX_RESULTS] cap (exact request, not ranking) - AGENTS.md: document deferred_discovery config field + new modules Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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dcb2e687d5
|
feat(channels): add GitHub as a webhook-driven channel (#3754)
* feat(channels): add GitHub event-driven agents (#3754) Add a webhook-driven GitHub channel with fail-closed webhook routing, deterministic per-agent PR/issue threads, mention-gated trigger fan-out, GitHub App token injection for sandboxed gh/git commands, and backend/AGENTS.md documentation. * fix(llm-middleware): classify bare IndexError as transient Upstream chat providers occasionally return 200 OK with an empty generations list (observed against Volces "coding" on ark.cn-beijing.volces.com). When that happens, langchain_core.language_models.chat_models.ainvoke raises ``IndexError: list index out of range`` at ``llm_result.generations[0][0].message`` and kills the run. Treat a bare IndexError reaching the middleware as a transient upstream-payload glitch and route it through the existing retry/backoff path instead of failing the whole agent run. The retry budget and backoff schedule are unchanged. Adds three regression tests covering the classifier and both the recover-on-retry and exhausted-retries paths. * fix(runtime): ignore stale LLM fallback markers from prior runs When a run on a thread ends with the LLM-error-handling middleware emitting a `deerflow_error_fallback`-marked AIMessage (e.g. after the IndexError empty-generations classification fix lands), that message is persisted to the thread's checkpoint as part of the messages channel. LangGraph replays the full message history in `stream_mode="values"` chunks, so every subsequent run on the same thread re-streams the stale fallback marker — and the worker's chunk scanner faithfully picks it up, flipping `RunStatus.success` to `RunStatus.error` for runs that themselves had no LLM failure at all. Snapshot the set of pre-existing message ids from the pre-run checkpoint and thread it through `_extract_llm_error_fallback_message` / `_try_extract_from_message` as a filter. Markers on history messages are ignored; markers on fresh messages produced during this run still trip the error path. Falls back to an empty set when the checkpointer is absent or the snapshot can't be captured, preserving the prior behavior on first-run / no-state paths. Adds unit tests for the new filter (helper-level and `_collect_pre_existing_message_ids`) plus an integration test exercising the full `run_agent` path with a stale history checkpointer. * fix(channels): make github channel fire-and-forget to avoid httpx.ReadTimeout on long runs GitHub agent runs (clone -> edit -> test -> push -> PR) routinely exceed the langgraph_sdk default 300s read deadline. The manager's runs.wait call kept an HTTP stream open for the entire run lifetime, so the long run blew up with httpx.ReadTimeout and the outer except branch then released the dedupe key and emitted a false 'internal error' outbound. The GitHub channel's outbound send is log-only by design: agents post to the issue/PR via the gh CLI in the sandbox when they choose to comment or create a PR. There is nothing for the manager to ferry back, so the long-poll was pure overhead. This change adds ChannelRunPolicy.fire_and_forget (default False) and sets it True for the github channel. When fire_and_forget is True, _handle_chat dispatches via client.runs.create (short POST, returns once the run is pending) instead of client.runs.wait, and skips the response-extraction + outbound-publish block. ConflictError on a busy thread still trips the standard THREAD_BUSY_MESSAGE path so behavior on the busy case is preserved for any future non-github fire-and-forget channel. Other (non-github) channels are unchanged: their policy defaults fire_and_forget=False and they continue to dispatch via runs.wait. Adds 6 regression tests in tests/test_channels.py::TestGithubFireAndForget: - Default ChannelRunPolicy.fire_and_forget is False. - The github policy registers fire_and_forget=True. - github inbound calls runs.create, not runs.wait, with the right kwargs. - github inbound publishes no outbound on success. - ConflictError from runs.create still emits THREAD_BUSY_MESSAGE. - Non-github channels (slack) still dispatch via runs.wait. * test(lead-agent): accept user_id kwarg in skill-policy test stubs The two GitHub-channel tests added in #3754 stubbed _load_enabled_skills_for_tool_policy with a lambda that only accepted `available_skills` and `app_config`, but the real function (and its call site in agent.py) also passes `user_id`. This raised TypeError on every run, failing backend-unit-tests. Add `user_id=None` to match the three sibling stubs in the same file. * refactor(gateway): disambiguate context-key set names The two frozensets _INTERNAL_ONLY_CONTEXT_KEYS and _CONTEXT_ONLY_KEYS shared a confusable "CONTEXT_ONLY" token in different orders, and the first broke the _CONTEXT_<X>_KEYS pattern of its sibling _CONTEXT_CONFIGURABLE_KEYS. Rename to make the distinct axes explicit: _CONTEXT_INTERNAL_CALLER_KEYS - WHO: internal callers (scheduler) only _CONTEXT_RUNTIME_ONLY_KEYS - WHERE: runtime context only, never configurable Pure rename, no behavior change. |
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4fc08b4f15
|
feat: add scheduled tasks MVP (#3898)
* feat: add scheduled tasks MVP
* fix: harden scheduled task execution semantics
* feat(scheduled-tasks): preset-driven schedule form with timezone and live preview
Replace the raw cron input with a preset Select (hourly/daily/weekly/monthly/custom)
plus structured inputs (time picker, weekday toggles, day-of-month), datetime-local
for one-time tasks, a timezone selector defaulting to the browser timezone, and a
live human-readable preview. Reuses one ScheduledTaskScheduleInput for create and
edit; backend contract unchanged; zero new deps (pure Intl + DST-safe offset helpers).
* feat(scheduled-tasks): full-page i18n + recipe templates + E2E locale pin
Localize the rest of the scheduled-tasks page (filters, detail pane, actions,
edit form, run list, enum values) via t.scheduledTasks.* in en/zh. Add four
built-in recipe templates (GitHub Trending, news digest, issue triage, weekly
report) exposed as a chip row that pre-fills title + prompt + schedule. Pin
Playwright locale to en-US so E2E selectors stay stable against i18n. No backend
change, no new deps.
* fix(scheduled-tasks): idempotent 0003 migration, update head constants, future-date once test
Merge with main surfaced three CI failures:
- 0003_scheduled_tasks create_table collided with legacy test seeds that
build from full metadata; guard with inspector.has_table so the revision
no-ops when the table already exists (0004/0005 are already idempotent via
_helpers.py).
- persistence bootstrap concurrency/regression tests pinned HEAD to main's
0002_runs_token_usage; bump to the new head 0005_scheduled_task_thread_nullable.
- once-task router test used a fixed past run_at and tripped the
must-be-in-the-future validation; use a future date.
* address review: ok-check, 502 for trigger failure, mock fields, migration filename, doc fences
- fetchThreadScheduledTasks now checks response.ok like the other fetchers.
- trigger endpoint returns 502 (not 409) when dispatch fails outright, so
clients can distinguish a real conflict from a server-side failure.
- E2E mock normalizes scheduled-task objects with context_mode/last_thread_id
and nullable thread_id, matching the backend contract the UI renders against.
- Rename 0002_scheduled_tasks.py -> 0003_scheduled_tasks.py to match its
revision id (file was renamed in spirit already; filename now follows).
- CONFIGURATION.md: close the Tool Groups yaml fence and drop the stray fence
after the Scheduler notes so the sections render correctly.
* fix(scheduled-tasks): harden lease, poller, config, and frontend UX after review
* fix(scheduled-tasks): harden run lifecycle, overlap skip, non_interactive gating, and DST conversion after review
- defer a once task's terminal status to the run-completion hook; the task
stays running until the real outcome, and a startup sweep cancels once
tasks orphaned by a crash (launch-time 'completed' could stick forever)
- record interrupted runs as a distinct 'interrupted' run status with a
readable message; an interrupted once task ends 'cancelled', not 'failed'
- enforce overlap_policy=skip for fresh_thread_per_run via an active-run
pre-check (same-thread ConflictError can never fire across fresh threads)
- protect terminal run statuses from the late launch-path 'running' write
- honor context.non_interactive only for internally-authenticated callers;
arbitrary clients can no longer strip ask_clarification
- fix DST-stale timezone offset in zonedLocalToUtcIso by re-deriving the
offset at the resolved instant (once tasks fired an hour late around
spring-forward and the create->edit round-trip diverged)
- drop dead ScheduledTaskRunRepository.update_by_run_id; share one Gateway
API error helper between channels and scheduled-tasks frontends
* fix(scheduled-tasks): close review round-3 gaps in guards, concurrency, and API ergonomics
- scrub internal-only context keys (non_interactive) from the assembled run
config for non-internal callers: gating body.context alone left the same
key smuggle-able through the free-form body.config copied verbatim by
build_run_config
- guard update_after_launch with protect_terminal so the launch bookkeeping
write cannot clobber a once task already finalized by a fast-failing run's
completion hook (parent-row sibling of the run-row guard)
- reject a manual trigger while the task has an active run (409) instead of
launching a duplicate concurrent run on fresh_thread_per_run
- re-arm a terminal once task to enabled when PATCH pushes run_at into the
future; previously the endpoint returned 200 with a next_run_at that could
never be claimed
- make max_concurrent_runs a real global cap: each poll claims only into the
remaining budget of active (queued/running) scheduled runs
- paginate GET /scheduled-tasks/{id}/runs (limit<=200, offset) and push the
thread filter of /threads/{id}/scheduled-tasks into SQL
- stamp context.user_id on scheduler-launched runs, matching IM channels, so
user-scoped guardrail providers see the owning user
---------
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
|
||
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|
38342b15a3
|
fix(redis): stream retention recovery (#3933)
* fix(gateway): retain redis streams safely * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> |
||
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|
53a80d3ad1
|
feat(skills): per-user custom skill isolation with sandbox mounting (#3889)
* feat(skills): per-user skill isolation (#2905) Implement user-scoped skill storage that isolates custom skills between users while sharing public skills globally. Key changes: - Add UserScopedSkillStorage class for per-user custom skill directories - Introduce get_or_new_user_skill_storage() factory with user_id context - Auth middleware sets effective_user_id for request-scoped storage - Agent/prompt/middleware now use user-scoped storage and prompt cache - Sandbox mounts user-scoped skill directories for search/read tools - Add validate_skill_file_path() to SkillStorage for path security - Migration script supports --all-users bulk migration - Frontend: add editable field to Skill type, error check in enableSkill - All skill categories can be toggled (custom skills default to enabled) - Update skill-creator SKILL.md with isolation-aware instructions Tests: - Add test_user_scoped_skill_storage.py (new) - Update all existing skill tests for user-scoped storage - Update sandbox, client, and router tests * fix(skills): address second-round PR review feedback (#3889) - P1-1: restrict legacy skill mount to users without custom skills - P1-2: fail-closed for _is_disabled_skill_path (OSError → return True) - P2-1: AND-merge global extensions_config skill disabled state - P2-2: atomic write for _skill_states.json (mkstemp + replace) - P2-3: normalize X-DeerFlow-Owner-User-Id in trusted boundary - P2-4: LRU-bounded _enabled_skills_by_config_cache (OrderedDict, maxsize=256) - P2-5: clear global prompt cache on PUBLIC skill toggle - P2-6: invalidate skill caches on client.update_skill * fix(tests): correct tool policy test after merge * fix(skills): use DEFAULT_SKILLS_CONTAINER_PATH in UserScopedSkillStorage The "/mnt/skills" literal in UserScopedSkillStorage.__init__ triggers test_skill_container_path_defaults::test_mnt_skills_literal_is_owned_by_skill_constants_module on CI. Migrate the default to the existing deerflow.constants constant, matching the pattern already used by LocalSkillStorage, SkillStorage, and the durable/tool_error middlewares. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
66b9e7f212
|
feat: emit structured runtime metadata (follow-up#3887) (#3906)
* feat: emit structured runtime metadata * fix: avoid subagent import cycle in replay gateway * fix: preserve legacy subtask result parsing * refactor: tighten runtime metadata contracts * fix(middleware): keep recovery hint on task exception wrapper content The structured-metadata stamp overwrote the wrapper text with the bare task-failure message, dropping the model-facing 'Continue with available context, or choose an alternative tool.' guidance that every other tool exception keeps. Append the shared hint after the formatted message. * fix(subagents): require lowercase hex for result_sha256 reader Length-only validation accepted any 64-char string; a faulty serializer or relaying wrapper could store a non-digest value in the delegation ledger. Enforce the producer's hexdigest shape with a fullmatch. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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|
72f033fbbe
|
feat(gateway): add redis stream bridge (#3191)
* feat: add redis stream bridge * Potential fix for pull request finding Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(gateway): address redis stream bridge review Redis was imported eagerly through deerflow.runtime and declared as a hard dependency, which made memory-only installs load redis.asyncio at startup and left the lazy factory import ineffective. Move redis behind an optional extra, remove the public eager re-export, and keep make_stream_bridge as the only runtime import path with an actionable install hint when the extra is missing. Because Docker deployments now default the stream bridge to Redis via DEER_FLOW_STREAM_BRIDGE_REDIS_URL, install the redis extra explicitly in Docker/dev container flows and teach the local uv-extra detector to infer redis from both stream_bridge.type and the Redis URL env var. This keeps Docker working while preserving slim non-Docker installs. Harden the Redis bridge by batching XREAD replay, replacing brittle ResponseError string matching with a single fallback to 0-0 for malformed Last-Event-ID values, documenting connection/retention/fail-hard behavior, and adding fake plus opt-in real Redis coverage for XADD/XREAD, replay, invalid IDs, and MAXLEN trimming. * fix(config): bump config version for stream bridge * fix redis stream bridge terminal handling * fix: repair uv.lock, format redis.py, and align Dockerfile extras test The uv.lock file was missing a closing bracket for the redis extras section, redis.py had a formatting issue caught by ruff, and the Dockerfile extras test did not account for the hardcoded --extra redis flag. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> |
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|
b81334ccfe
|
feat(middlewares): deterministic read-before-write version gate for file tools (#3911) (#3912)
* docs(specs): read-before-write gate design for issue #3857 output layer * docs(plans): read-before-write gate implementation plan (#3857) * refactor(sandbox): extract read_current_file_content helper (#3857) * feat(middlewares): read-before-write version gate for file tools (#3857) * test(middlewares): pin async read-before-write gate paths (#3857) * feat(config): wire ReadBeforeWriteMiddleware into runtime chain, default on (#3857) * docs(sandbox): document read-before-write gate in tool docstrings and AGENTS.md (#3857) * docs(plans): align plan doc with landed config_version (17) and drop machine-specific paths Addresses Copilot review comments on #3912. * fix(middlewares): read-before-write gate — error-string sandboxes fail open; serialize gate+execution per path (#3912 review) - AIO/E2B read_file reports failures (incl. missing files) as 'Error: ...' strings instead of raising; the gate treated that string as existing file content and blocked first-write creation. Error-string reads now count as uninspectable: gate fails open, no mark is stamped. - LangGraph runs one AIMessage's tool calls concurrently, so two same-turn writes could both pass on one stale mark before either mutation landed (and a read mark could hash a version the model never saw). Gate check + tool execution (and read + mark stamping) now share a per-(thread, path) critical section, separate from the tool-internal file_operation_lock. |
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|
c9a5f23e7b
|
feat(mcp): add per-server tool_call_timeout for MCP tool calls (#3843)
* feat(mcp): add per-server tool_call_timeout for MCP tool calls Add a configurable timeout for individual MCP tool calls to prevent agent runs from blocking indefinitely when an MCP server becomes unresponsive (e.g., rate-limited HTTP API, hung subprocess). Uses the MCP SDK's built-in read_timeout_seconds parameter on ClientSession.call_tool, which handles the timeout within the session's own task — avoiding cross-task cancellation issues with the session pool (ref #3379, #3203). Config field is named tool_call_timeout (not timeout) to avoid collision with langchain-mcp-adapters' existing timeout field on HTTP/SSE connections. Closes #3840 * fix(mcp): read tool_call_timeout from McpServerConfig, not connection dict The previous implementation put tool_call_timeout into the connection dict returned by build_server_params, which langchain's create_session then passed to _create_stdio_session(), causing TypeError. Now reads the timeout directly from ExtensionsConfig.mcp_servers where the wrapper is built, keeping it out of the connection dict entirely. Fixes P1 bug from review on #3843. * test(mcp): regression test for tool_call_timeout not leaking into connection dict Adds two tests: - test_build_server_params_excludes_tool_call_timeout: verifies the connection dict returned by build_server_params() does NOT contain tool_call_timeout - test_stdio_tool_call_timeout_does_not_raise_typeerror: end-to-end test that get_mcp_tools() with a stdio server having tool_call_timeout configured loads tools without TypeError from _create_stdio_session() Regression for PR #3843 P1 bug. * fix(mcp): only pass read_timeout_seconds when tool_call_timeout is set When tool_call_timeout is None, don't pass read_timeout_seconds=None to session.call_tool(). This avoids breaking existing tests that assert on exact call_tool arguments without the extra kwarg. * docs(mcp): clarify stdio tool timeout |
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|
e3e5c73b03
|
feat(observability): add trace-id correlation and enhanced logging (#3902)
* feat(observability): add trace-id correlation and enhanced logging - add opt-in gateway request trace correlation via X-Trace-Id - enhance logging with configurable trace_id-aware formatting - propagate deerflow_trace_id into runtime context and Langfuse metadata - keep enhanced logging disabled by default to preserve existing behavior * fix: harden trace correlation wiring - Make logging enhancement a restart-required startup snapshot and remove per-request config reads from TraceMiddleware - Restrict trace ids to printable ASCII before writing them to response headers, logs, and Langfuse metadata - Gate implicit DeerFlowClient trace-id creation behind logging.enhance.enabled while preserving explicit caller opt-in - Bind embedded client trace context per stream step to avoid generator ContextVar leaks and cross-context reset errors - Rebind memory update trace ids in Timer/executor worker paths so enhanced logs keep the captured correlation id - Remove unrelated __run_journal context overwrite from the trace-correlation change set * fix(gateway): avoid eager app construction on package import * fix(gateway): avoid config load during app import Keep Gateway app construction import-safe when config.yaml is absent by disabling TraceMiddleware only for that construction-time fallback path. Startup lifespan still performs strict config loading before serving. |
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|
4e6248f013
|
fix(gateway): clamp client-supplied recursion_limit to prevent runaway runs (#3903)
build_run_config() copied every top-level request key (except
configurable/context) verbatim into the LangGraph RunnableConfig, including
recursion_limit. The server default of 100 was fully overridable by the caller
with no upper bound, so a request like {"config": {"recursion_limit": 100000000}}
could make a single run execute effectively unbounded LangGraph super-steps
(each >= 1 LLM call), enabling runaway API cost / DoS.
Validate the client value server-side and clamp it into a safe range:
- valid positive ints are capped at a configurable ceiling
(AppConfig.max_recursion_limit, default 1000 to match the existing
frontend/public-skill default so legitimate deep runs are unaffected)
- invalid/non-positive/bool/None values fall back to the 100 server default
- applied on both the configurable and the LangGraph >= 0.6.0 context paths
- WARNING logged on clamp for observability
Add unit tests (including a configurable-ceiling case), expose
max_recursion_limit in config.example.yaml (config_version 16), and document
the ceiling/fallback in backend/docs/API.md.
Co-authored-by: DengY11 <DengY11@users.noreply.github.com>
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|
442248dd06
|
feat: preserve durable context across summarization (#3887)
* feat: preserve durable context across summarization * fix: harden durable context review gaps * style: format delegation ledger live test * chore: remove stale delegation ledger prefix * fix: address durable context review feedback |
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2453718acd
|
fix(title): avoid default LLM call before stream end (#3885)
* fix(title): avoid default LLM call before stream end * fix(title): keep default fallback local * fix(title): harden fallback and replay e2e * docs(title): align fallback title behavior |
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fe82552023
|
fix(sandbox): stop blocking bash commands (e.g. servers) from hanging the turn (#3864)
* fix(sandbox): stop blocking bash commands from hanging the turn Starting a server through the host bash tool (e.g. `python -m http.server`) could hang the whole turn for the full 600s timeout. `LocalSandbox.execute_command` used `subprocess.run(capture_output=True)`, whose captured pipes are inherited by any process the command spawns — so a backgrounded long-lived process (`server &`) keeps the read end open and blocks `communicate()` until the timeout fires, even though the foreground command already returned. Commands that read stdin blocked the same way, and on timeout only the direct child was killed, leaving orphaned process groups. Rework the POSIX path to capture stdout/stderr via temp files instead of pipes, take stdin from /dev/null, and run the command in its own session/process group: - Backgrounded long-lived processes (servers) now return immediately while the process keeps running. - A command reading stdin gets immediate EOF instead of blocking. - A genuinely blocking foreground command is bounded by a configurable wall-clock timeout; on timeout the whole process group is killed and the agent gets an explanatory notice telling it to background long-lived processes. The timeout is configurable via `sandbox.bash_command_timeout` (default 600). The Windows path is unchanged. Adds focused regression tests and updates docs. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): instruct the agent to background long-lived processes The code fix bounds a foreground server with a timeout, but the turn still waits the full timeout before the run continues. Add the prompt-side half: the bash tool description now tells the model to ALWAYS start long-lived processes (e.g. web servers) in the background with output redirected, so the tool returns immediately. The timeout notice points at the same readable workspace log path. Pins the guidance with a test. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): make fallback-kill exception explicit and observable Address automated review: the inner `except OSError: pass` in _terminate_process_group silently swallowed the case where the direct-child fallback kill found the process already gone. Make the intent explicit with a comment and a debug log instead of a bare pass. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(sandbox): address bash timeout review feedback * fix(sandbox): document fd cleanup races --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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b66e3253a0
|
perf(config): index AppConfig.get_*_config by name (O(n) -> O(1)) (#3688)
get_model_config / get_tool_config / get_tool_group_config did a next(...) linear scan of self.models / self.tools / self.tool_groups on every call. These sit on hot paths: get_tool_config runs 2-3x per community-tool invocation (web_search etc.) and get_model_config several times per agent build, across 40+ call sites. Build name -> config dicts once in a mode="after" validator (stored as PrivateAttr), so each getter is an O(1) dict lookup. A config reload constructs a fresh AppConfig, which rebuilds the indexes; setdefault keeps first-match-wins on duplicate names, matching the prior next(...) semantics. Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |
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b990da785f
|
feat(memory): add guaranteed injection for correction facts with graceful fallback (#3592)
* feat(memory): add guaranteed injection for correction facts with graceful fallback When the token budget is tight, high-value facts (e.g. user corrections) can be silently evicted by lower-priority regular facts. This change: - Introduces configurable 'guaranteed_categories' (default: [correction]) whose facts draw from a separate 'guaranteed_token_budget', ensuring they are never dropped due to budget pressure. - Adds a graceful fallback to confidence-only ranking when the guaranteed-category path raises an unexpected exception. - Refactors fact selection into a header-agnostic helper (_select_fact_lines) with explicit token accounting in the caller, eliminating double-counting of separators. - Emits a single 'Facts:' header regardless of whether both guaranteed and regular facts are present. - Extends the final safety truncation limit to account for the additional guaranteed budget so guaranteed facts survive end-to-end. * refactor(memory): address review feedback on guaranteed injection - Restore strict break-on-overflow in `_select_fact_lines` to preserve the caller's confidence-ordered ranking; add a regression test locking in the invariant that a shorter lower-confidence fact never slips ahead of a skipped higher-confidence one. - Account for the inter-group `\n` separator between guaranteed and regular fact blocks in the regular budget (1-token precision fix). - Clarify docstrings on `format_memory_for_injection` and `MemoryConfig.guaranteed_token_budget` to distinguish the common *displacement* case (total stays within `max_tokens`) from the rarer *additive* case (safety-truncation ceiling raised when guaranteed lines alone would overflow). * fix(memory): address P1 safety truncation + P2s from review - Structure-aware safety truncation: Facts block is now a protected suffix so guaranteed-category facts can never be silently discarded by a prefix-cut on overflow. Only the preceding (user/history) sections are eligible for truncation. - Extend the same protected-suffix treatment to the except/fallback path by returning fact lines alongside the formatted section from _fallback_format_facts, avoiding string parsing. - Single inter-section separator: facts section no longer embeds its own leading \n\n; the final "\n\n".join(sections) is the single source of truth for section-to-section spacing. - Bare string for guaranteed_categories now raises TypeError instead of silently iterating single characters. - Category-less / malformed facts no longer default-promote into the guaranteed "context" pool — only facts with an explicit category field qualify. - Lift valid_facts pre-filter outside the try so the fallback path reuses it instead of re-doing validation work. - MemoryConfigResponse + DeerFlowClient.get_memory_config now expose guaranteed_categories / guaranteed_token_budget. - config.example.yaml: document the two new fields and bump config_version from 12 to 13. - Add regression tests for every finding. --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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78fff5a5e2
|
feat(middleware): add TokenBudgetMiddleware for per-run token budget e… (#3412)
* eat(middleware): add TokenBudgetMiddleware for per-run token budget enforcement * address copilot comments * resolve feedback --------- Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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c177d0e542
|
fix(config): coerce null object config sections to their defaults (#3573)
* fix(config): coerce null object config sections to their defaults #3434 made commented-out list sections (models/tools/tool_groups) parse as [] instead of crashing, but the same scenario still crashes for object sections: commenting out every key under e.g. memory: / summarization: / guardrails: makes PyYAML parse the value as None, and AppConfig then raises "Input should be a valid dictionary" for that section — breaking the documented `cp config.example.yaml config.yaml` first-run flow. Generalize the handling: a model_validator(mode="before") drops None-valued sections so each field falls back to its default (list sections -> [], object sections -> their default config). This subsumes the previous list-only field_validator and the database special-case. Required sections without a default (sandbox) still error when null. Adds test_app_config_coerces_commented_out_object_sections; the existing list-section regression test still passes. * docs+test: address review on null-section coercion - Correct the _drop_null_config_sections docstring: it does not subsume the database special-case; _apply_database_defaults still owns `database` and applies concrete defaults beyond null-coercion. - Strengthen test_app_config_coerces_commented_out_object_sections to assert each null section falls back to its expected default config type, not just that it is non-None. - Add test_app_config_null_required_section_still_errors covering the required-section (sandbox) "still errors when null" claim. --------- Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com> |
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ee8ad1bc67
|
feat(auth): add OIDC SSO support (#3506)
Add provider-agnostic OIDC authentication with Keycloak-compatible configuration, frontend SSO UI support |
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ec16b6650d
|
fix(channel): force reload config on channel restart (#3619)
* fix: force reload config on channel restart * fix: detect config content changes for reload |
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0966131b31
|
fix(channels): require bound identity for user-owned IM messages (#3578)
* fix(channels): require bound identity for user-owned IM messages * make format * docs: document bound identity channel config * refactor: reuse channel connection config * refactor _requires_bound_identity() * refactor from_app_config() * make format * fix: reject unbound channel chats before semaphore * security enhancement * make format * fix: enforce bound-identity admission at command entry point The bound-identity gate only ran for non-command messages in _handle_message() and as a fallback inside _handle_chat(). Commands had no equivalent boundary, so an unbound platform user could send /new and reach _create_thread() directly, creating an unowned Gateway thread and empty checkpoint. Info commands (/status, /models, /memory) likewise leaked Gateway state to unbound users. Add the same _requires_bound_identity() check at the top of _handle_command(), rejecting via _reject_unbound_channel_message() before any thread creation or Gateway query. The gate is a no-op in legacy open-bot mode (require_bound_identity=False) and auth-disabled mode. Provider-level binding flows (/connect, /start) are consumed by the provider adapter before reaching the manager, so they are unaffected. Tests: - unbound auth-enabled /new is rejected before threads.create - bound auth-enabled /new still creates the thread Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(channels): carry workspace fallback decision on inbound messages * fix(channels): recheck bound identity by normalized workspace * fix(channels): avoid duplicate bound identity checks * fix(channels): preserve verified routing for bound identity rejects * fix(channels): clarify bound identity upgrade failures --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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05be7ea688
|
fix(subagents): raise general-purpose max_turns to 150 and default timeout to 30min (#3610)
* fix(subagents): raise general-purpose max_turns to 150 and default timeout to 30min Deep-research subtasks failed out of the box with GraphRecursionError (Recursion limit of 100 reached): the built-in general-purpose subagent caps at max_turns=100. Raise it to 150 and bump the default subagent timeout from 900s (15min) to 1800s (30min) so the extra turns have time to run instead of shifting the failure to a timeout. The lead agent recursion_limit (100) is unchanged; the failures are subagent-only. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(subagents): clarify lead recursion_limit is independent of subagent max_turns Add comments at both lead recursion_limit=100 sites (gateway services + channel manager) explaining the lead's LangGraph super-step budget is separate from subagent depth, so the two 100s are not conflated. Comment-only, no behavior change. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs(subagents): clarify built-in vs custom timeout scope; pin bash max_turns in test Review follow-ups: (1) clarify SubagentConfig docstring + global timeout field/comment that the 1800 default applies to built-in subagents (custom agents keep their own timeout_seconds); (2) pin bash.max_turns==60 in the defaults regression test so the config.example.yaml doc cannot drift; (3) rename test_default_timeout_preserved_when_no_config -> test_explicit_global_timeout_propagates_to_general_purpose since it intentionally exercises an explicit non-default 900. No runtime behavior change. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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|
d2cc991d55
|
make ai follow-up suggestions optional (#3591) | ||
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aa015462a7
|
feat(im): Add user-owned IM channel connections (#3487)
* Add user-owned IM channel connections
* Fix dev startup and channel connect popup
* Use async channel connect flow
* Harden dev service daemon startup
* Support local IM channel connections
* Align IM connections with local channels
* Fix safe user id digest algorithm
* Address Copilot IM channel feedback
* Address IM channel review comments
* Support all integrated IM channel connections
* Format additional channel connection tests
* Keep unavailable channel connect buttons clickable
* Fix IM channel provider icons
* Add runtime setup for enabled IM channels
* Guard global shortcut key handling
* Keep configured IM channels editable
* Avoid password autofill for channel secrets
* Make channel threads visible to connection owners
* Persist IM runtime config locally
* Allow disconnecting runtime IM channels
* Route no-auth channel sessions to local user
* Use default user for auth-disabled local mode
* Show IM channel source on threads
* Prefill IM channel runtime config
* Reflect IM channel runtime health
* Ignore Feishu message read events
* Ignore Feishu non-content message events
* Let setup wizard enable IM channels
* Fix frontend formatting after merge
* Stabilize backend tests without local config
* Isolate channel runtime config tests
* Address channel connection review comments
* Use sha256 user buckets with legacy migration
* Ensure runtime IM channels are ready after restart
* Persist disconnected IM channel state
* Address channel connection review comments
* Address channel connection review findings
Frontend connect flow:
- Open the runtime-config dialog only when a provider still needs
credentials; configured providers go straight to the connect flow, so
the binding-code/deep-link path is reachable from the UI again.
- After saving credentials, continue into the connect flow when a user
binding is still required (multi-user mode) instead of stopping at a
"Connected" toast.
- Extract shared provider-state helpers to core/channels/provider-state
and add unit + e2e coverage for the direct-connect and
configure-then-connect paths.
Provider status semantics:
- Report connection_status from the user's newest connection row;
with no binding it is not_connected, except in auth-disabled local
mode where a configured running channel is effectively connected.
Concurrency and event-loop correctness:
- Offload ChannelRuntimeConfigStore construction and writes, channel
service construction, and Slack connection replies to threads; add a
tests/blocking_io/ anchor for the runtime-config handlers.
- Consume binding codes with a conditional UPDATE so a code can only be
used once under concurrent workers; retry upsert_connection as an
update when a concurrent insert wins the unique constraint.
- Serialize ensure_channel_ready per channel so concurrent provider
polls cannot double-start a channel worker.
Config and migration hardening:
- Stop mutating the get_app_config()-cached Telegram provider config;
the runtime store now owns the UI-entered bot username.
- Register channel_connections in STARTUP_ONLY_FIELDS with the
standardized startup-only Field description.
- Match the legacy unsafe-id bucket by recomputing its exact SHA-1 name
so another user's same-prefix bucket can never be migrated.
- Remove the unused Telegram process_webhook_update path and document
src/core/channels in the frontend docs.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Address PR review comments on authz scoping and channel runtime
Security (review feedback from ShenAC-SAC):
- Scope internal-token callers to the connection owner carried in
X-DeerFlow-Owner-User-Id instead of bypassing owner checks outright,
in both require_permission(owner_check=True) and the stateless run
endpoints. Internal callers keep access to their own and
shared/legacy threads, and may claim a default-owned channel thread
for its real owner, but a leaked internal token no longer grants
cross-user thread access.
- Require admin privileges for POST/DELETE /api/channels/{provider}/
runtime-config: runtime credentials and channel workers are
instance-wide shared state (same model as the MCP config API).
Read-only provider listing stays available to all users.
Performance (review feedback from willem-bd):
- Skip the redundant thread channel-metadata PATCH after the first
successful backfill per thread.
- Reuse the per-connection Slack WebClient until its token changes
instead of constructing one per outbound message.
- Reconcile channel readiness for all providers concurrently in
GET /api/channels/providers.
Also resolve the code-quality unused-import flag in the blocking-io
anchor by pre-importing the channel service via importlib.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Fix prettier formatting in provider-state test
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* Reconcile UI runtime channel config with config reload on restart
Main now reloads a channel's config.yaml entry on restart_channel()
(#3514, issue #3497). Adapt the user-owned connection flow to coexist:
- configure_channel() restarts with reload_config=False — the caller
just supplied the authoritative config (browser-entered credentials
that are never written to config.yaml), so a file reload must not
clobber it with the stale on-disk entry.
- _load_channel_config() re-applies the UI runtime-store overlay used
at startup, so an operator-triggered restart keeps browser-entered
credentials for channels without a config.yaml entry and does not
resurrect a channel disconnected from the UI.
- Offload the reload's disk IO (config.yaml + runtime store) with
asyncio.to_thread, matching the blocking-IO policy on this branch.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
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b3c2cc42cf
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fix(agents): require config.yaml in resolve_agent_dir to skip memory-only directories (#3390) (#3481)
When memory is enabled, the first conversation with a legacy shared agent creates a per-user agent directory containing only memory.json (no config.yaml). On the second turn, resolve_agent_dir() returned this incomplete directory, causing load_agent_config() to fail with "Agent config not found". Require config.yaml to exist alongside the directory for both the per-user and legacy paths, so that memory-only directories fall through correctly. This aligns resolve_agent_dir with the existing config.yaml check in list_custom_agents. Refs: https://github.com/bytedance/deer-flow/issues/3390 |
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167ef4512f
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feat(memory): add memory.token_counting config to avoid tiktoken network dependency (#3429) (#3465)
* feat(memory): add memory.token_counting config to avoid tiktoken network dependency (#3429) Add a `memory.token_counting` option (`tiktoken` | `char`) so deployments in network-restricted environments can opt out of tiktoken entirely. In `char` mode the memory-injection budget uses a network-free character-based estimate and never triggers the BPE download from openaipublic.blob.core.windows.net, which could otherwise block for tens of minutes (see #3402). Also harden the default `tiktoken` path: - cache an in-flight LOADING sentinel so concurrent callers fall back immediately instead of spawning more blocking get_encoding threads when the first load is still running (e.g. under the 5s startup warm-up timeout); - cache failures with a timestamp and retry after a cooldown so a transient network outage self-heals back to accurate counting without a restart; - skip startup warm-up entirely in char mode. The new config is surfaced via the memory config API and config.example.yaml (config_version bumped). Default remains `tiktoken`, so existing deployments are unaffected. * fix(memory): use CJK-aware char token estimate and address review feedback - Replace the flat len(text)//4 fallback with a CJK-aware estimate so Chinese/Japanese/Korean memory content does not over-fill the injection budget - Document the internal tiktoken retry cooldown and char-mode escape hatch - Sync CLAUDE.md / config.example.yaml / MEMORY_IMPROVEMENTS.md wording - Fix MemoryConfigResponse mocks/assertions and add CJK estimate tests |
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ae9e8bc0bf
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fix(sandbox): make missing sandbox.mounts host_path a loud ERROR (#3244) (#3250)
In Docker production deployments, LocalSandboxProvider runs inside the
deer-flow-gateway container, so any `sandbox.mounts[].host_path` from
config.yaml is resolved against the gateway container's filesystem — not
the host machine. When the path isn't also bind-mounted into the gateway
service, the mount was silently dropped with only a WARNING log, leaving
agents reading an empty directory in production while the same config
worked under `make dev`.
Escalate the missing-host_path branch to logger.error with explicit
guidance about Docker bind mounts and docker-compose, so the failure is
hard to miss in default log configurations. Skip behaviour is preserved
to avoid breaking existing deployments.
Also clarify the misleading `VolumeMountConfig.host_path` field
description so it documents reality for both providers:
- LocalSandboxProvider checks host_path from inside the gateway process
(host in `make dev`, container in `make up`).
- AioSandboxProvider (DooD) passes host_path straight to `docker -v`
for the sandbox container, where the host Docker daemon resolves it
from the host machine's perspective.
config.example.yaml's `sandbox.mounts` comment gets a Note: block
pointing operators at the docker-compose bind-mount requirement so the
Docker-mode gotcha is discoverable from the canonical template.
Adds a regression test that:
- confirms missing host_path is still skipped (no behaviour break);
- asserts an ERROR record is emitted referencing the offending paths;
- asserts the message contains actionable Docker/gateway/docker-compose
keywords so future refactors can't quietly downgrade it.
Refs: https://github.com/bytedance/deer-flow/issues/3244
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8db16bb3d8
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fix(config): coerce null config.yaml list sections to empty list (#3434)
Copying config.example.yaml to config.yaml and starting DeerFlow crashed with `pydantic ValidationError: models — Input should be a valid list [input_value=None]`, because the example ships every entry under `models:` commented out, so PyYAML parses the key as null. Reported in #1444. Add a field_validator(mode="before") on AppConfig that coerces null models/tools/tool_groups to [] (matching their default_factory=list), and emit an actionable warning from from_file when no models are configured (pointing to config.example.yaml / make setup). Adds regression tests. Closes #1444 Co-authored-by: ly-wang19 <ly-wang19@users.noreply.github.com> Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> |
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f725a963d5
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fix(runtime): protect sync singleton init and reset (#3413)
* fix(runtime): protect sync singleton init/reset with threading.Lock * fix(runtime): serialize sync singleton init and reset * make format * test(runtime): assert store reset creates new singleton * Apply suggestions from code review Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> * fix(runtime): load config outside singleton locks * fix(runtime): share checkpointer config loading helper --------- Co-authored-by: GODDiao <diaoshengjia@gmail.com> Co-authored-by: Willem Jiang <willem.jiang@gmail.com> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> |