mirror of
https://github.com/bytedance/deer-flow.git
synced 2026-08-13 16:28:38 +00:00
4 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
|
|
de024646a7
|
feat(memory): memory template externalization (#4286)
* feat(memory): template externalization — externalized prompts + signal patterns Externalize two categories of hardcoded content in the DeerMem memory backend so operators can customise them without touching Python code. Prompt externalization (plugin 06): - 4 memory extraction prompts moved from Python string constants to YAML files under core/prompts/ (consolidation / fact_extraction / memory_update.chat / staleness_review). - load_prompt(name) and load_prompt_messages(name, variables) loaders. - memory_update uses the chat format (system / user message split) for prompt-caching-friendly system prefixes; other prompts stay text. - The extraction callback + per-agent prompt directories + Jinja2 dependency are intentionally not included (minimal surface). - Compatible with the upstream prompt additions from #4143 (expected_valid_days, staleFactsToExtend, KEEP/REMOVE/EXTEND in staleness review). Signal-pattern externalization (plugin 07, regex only): - Correction and reinforcement detection patterns externalised to core/message_patterns/{correction,reinforcement}.yaml. - load_patterns(name, patterns_dir) loader with bundled defaults. - detect_correction / detect_reinforcement accept a keyword-only patterns= parameter; signatures are backward-compatible. - patterns_dir config field added to DeerMemConfig. - Importance scorer (importance.py, build_importance_scorer, _prepare_update changes) is NOT included — deferred to a later PR. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): fail loudly on invalid yaml in prompt/pattern loaders Replace silent error handling in load_prompt / load_prompt_messages / load_patterns so malformed yaml or missing required keys raise ValueError with the file path rather than a raw YAMLError traceback or silent empty-string / empty-list return. Changes: - load_prompt: YAMLError -> ValueError(path); missing/empty 'template' key -> ValueError - load_prompt_messages: YAMLError -> ValueError(path); missing/empty 'messages' key -> ValueError; KeyError from .format (placeholder mismatch) -> ValueError - load_patterns: YAMLError -> ValueError (was silent warn+return []). OSError still degrades (permission, not format). Not-a-list yaml -> ValueError (was silent warn+return []). Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): wire prompts_dir through updater, fail-loud patterns_dir, bump config_version Addresses PR feedback on the template-externalization PR: P1 — Wire prompts_dir into the DeerMem update path: - Add prompts_dir field to DeerMemConfig (default None = bundled defaults). - Thread it through DeerMem -> MemoryUpdater.__init__(prompts_dir=). - _build_staleness_section / _build_consolidation_section accept prompts_dir= keyword and call load_prompt() instead of relying on module-level shim constants. - _prepare_update_prompt passes prompts_dir to load_prompt_messages and to both section builders. - Add _PROMPT_CACHE to load_prompt so repeated lookups (once per memory-update cycle) do not re-read yaml from disk. P2 — Explicit patterns_dir must find its files: - When patterns_dir is explicitly set and a YAML file is missing, load_patterns() raises FileNotFoundError instead of silently caching an empty list. Bundled defaults (patterns_dir=None) still log a WARNING and return [] for a missing bundled file (packaging bug). P3 — Bump config_version and sync Helm: - config.example.yaml: 26 -> 27 - deploy/helm/deer-flow/values.yaml: 26 -> 27 - deploy/helm/deer-flow/README.md: 26 -> 27 - scripts/check_config_version.sh confirms parity. Tests: 224 passed (218 memory + 6 config_version). Lint: ruff check + ruff format --check pass. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): cache load_prompt_messages, validate format fields, fail-loud load_patterns Review feedback from willem-bd: Cache for load_prompt_messages: Add _CHAT_TEMPLATE_CACHE + _render_messages() helper so the parsed chat templates are cached per (name, agent, prompts_dir). On cache hit only .format() rendering runs; the yaml file is read once per key. Validate format field in both loaders: load_prompt rejects format='chat' (redirects to load_prompt_messages); load_prompt_messages rejects format='text' (redirects to load_prompt). Prevents operators from loading a chat yaml via the text loader (or vice versa) without a clear error. Load_patterns fail-loud for explicit directories: - OSError (permission, etc.) now raises for explicit patterns_dir instead of silently disabling detection. - Malformed entries (missing/empty pattern key, wrong type) are skipped with a WARNING instead of silent skip. - Unknown flag names are warned instead of silently dropped. - re.error from compile() raises ValueError with file path and entry index instead of a bare re.error traceback. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): thread agent_name through section builders, validate explicit prompts at construction, bump config_version to 28 P1 — Thread agent_name through staleness/consolidation section builders: _build_staleness_section and _build_consolidation_section now accept agent_name= and pass it to load_prompt(), so per-agent prompt overrides work for section templates too (not just memory_update). Previously only prompts_dir was threaded; agent_name was ignored for section builders. P1 — Validate explicit prompts at DeerMem construction: When DeerMemConfig.prompts_dir is explicitly set, DeerMem.__init__ now pre-loads all four prompt templates (staleness_review, consolidation, fact_extraction, memory_update with dummy variables) at construction time. A missing file, malformed YAML, or invalid placeholder raises immediately at startup instead of being caught by the updater's generic error handler and silently dropped as a failed update. P2 — Advance config_version to 28: Upstream main already consumed the previous 26→27 bump with a different schema change. Bump config.example.yaml, Helm values.yaml, and Helm README.md to 28 to version this PR's patterns_dir and prompts_dir additions. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): render text templates at construction, propagate PromptConfigurationError Keep prompt-configuration failures out of the recoverable update catch: - Define PromptConfigurationError(ValueError) in prompt.py. Raised by load_prompt, load_prompt_messages, and _render_messages for bad yaml, missing keys, and invalid placeholders. - _do_update_memory_sync_impl, update_memory's executor path, and _process_queue all re-raise (PromptConfigurationError, FileNotFoundError, OSError) before the generic except Exception, so a bad explicit prompt is never silently returned as False. - DeerMem.__init__ prompt validation now renders text templates with dummy variables (.format(stale_facts="") etc.) so an unknown placeholder in staleness_review.yaml, consolidation.yaml, or fact_extraction.yaml is caught at construction. Co-Authored-By: Claude <noreply@anthropic.com> * fix(memory): drop re-raise guards, soften validation comment, exclude dormant fact_extraction - Remove (PromptConfigurationError, FileNotFoundError, OSError) re-raise guards from _do_update_memory_sync_impl, update_memory executor path, and _process_queue. The existing except Exception: logger.exception(...) already logs prompt-config errors at ERROR with full traceback; the re-raise was killing the entire batch and only surfacing via stderr. Per-agent override errors now log at ERROR per-item without aborting co-tenant updates. - Soften the construction validation comment to clarify it only covers global templates. Per-agent overrides are validated lazily at first use and logged at ERROR by the updater's exception handler. - Drop fact_extraction from construction validation (dormant prompt with no runtime caller; the shim + yaml remain for backward compat). Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com> |
||
|
|
ad45f59d66
|
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> |
||
|
|
54f3c43fe3
|
fix(security): html-escape fact content in memory prompt sections (#4028)
* fix(security): html-escape fact content in memory prompt sections Raw memory fact content was injected verbatim into prompt XML — a fact containing a literal `"` could break the `"..."` delimiter, and a closing tag like `</consolidation_candidates>` could prematurely end the XML block, both potentially confusing the model. Apply `html.escape()` to `content` in `_build_staleness_section` and `_build_consolidation_section`, and to `cat` in the consolidation section's XML attribute. Tests added for both sections covering special characters, XML tag injection, and attribute injection. Follow-up to #3996 as noted by reviewer willem-bd. * fix(security): address reviewer follow-ups on html-escaping PR - Escape `cat` in _build_staleness_section for symmetry with the consolidation section (both sections now consistently html-escape all LLM-derived category values that appear in the prompt) - Add comment at current_memory=json.dumps() documenting the conscious accept: json.dumps leaves < > & unescaped; lower-risk than staleness/consolidation (read-only context, not delete/merge instructions); fix at fact-content insert time if revisited - Add test for category escaping in the staleness section * fix(security): reference tracking issue #4044 in conscious-accept comment * style: compress conscious-accept comment to two lines |
||
|
|
9097642658
|
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> |