- Change model version from qwen3.8-max to qwen3.7-plus
- Use environment variable LLM_MODEL_NAME to allow override
- Ensure backend configuration reflects updated model setting
* feat(service): bind network services to all interfaces
* fix(service): keep network listeners local by default
* fix(service): make remote access explicit
* perf(auto_resource): reuse historical ownership lookup per batch
Share a lazy ownership index across routed processors and expire it at the end of each resource batch. Refresh changed days and their safe aliases after writes, deletes, and partial failures.
Add regression coverage for scan counts, ownership, lookup scope isolation, and retry behavior.
* fix(auto_resource): reconcile shared lookup across active batches
* fix(auto_resource): refresh batch ownership from filesystem metadata
* refactor(auto_resource): simplify batch ownership lookup
Keep per-day ownership caches paired with pre-read metadata and refresh changed days before subsequent resources. Remove reverse-index bookkeeping, post-read stabilization retries, and recursive scope fallback.
Handle late ELOOP errors on Python 3.13 while preserving other OS errors. Update regression tests for cross-resource freshness and retain safety and lifecycle coverage.
* refactor(auto_resource): streamline batch lookup refresh
* refactor(auto_resource): scope ownership cache to batch mutations
Replace filesystem snapshots with one lazy historical lookup shared by resource processors. Reload only days changed by this invocation and discard the cache when it ends.
Reuse canonical daily-note scans for symlink safety and Python 3.13 compatibility. Consolidate regression tests around the narrowed batch contract.
Validation: Python 3.11, 3.12 and 3.13 core/plugin suites each passed 1407 tests; pre-commit --all-files and offline lookup/deletion comparison passed.
* refactor(auto_resource): reuse initial ownership without refreshes
* test(auto_resource): streamline ownership lookup regression coverage
* chore(ci): harden and split workflows
* fix(ci): support token-based npm publishing
* test: make disappearing resource check portable
* fix(ci): make Studio releases recoverable
* fix(ci): stop Studio publishing on cancellation
* feat(plugins): auto-tag generated reports
* fix(logging): forward host records on Python 3.13
* refactor(tags): decouple auto tagging from index updates
* fix(tags): bind auto tagging to configured index
* fix(tags): preserve standalone default index
* fix(tags): make auto tagging best effort
* Add optional tag generation and normalization to auto memory
* Add tag index components and clean up temporary JSONL files
* Preserve tag index state when reconciliation fails
* Refactor and streamline application implementation
* Fix pylint C1803 warnings in tag normalization tests
* Document optional tag index configuration
* Make tag index failures non-blocking and disable auto-memory tags
* Add configurable tag indexing and tag listing
* Add tag-filtered hybrid search with exact candidate ranking
* Remove obsolete generated files
* Rename tag index key to tag_key and reject reserved fields
* Extract automatic tagging into a dedicated step
* Restrict frontmatter updates to authorized keys
* Refine tag filtering and automatic memory tagging
* Require underscore-separated tags in auto-tag prompts
- Forbid spaces in tags and require underscores (e.g. sam_altman) in both
English and Chinese auto_tag prompts, with English examples switched to
English entities (OpenAI, gold)
- Drop prompt-string assertions superseded by the new tagging rule
- Merge construction/runtime tag_key validation tests into one parametrized case
* Make max_tags_per_file configurable in auto-tag step
* Consolidate tag index tests
* Fix search test fixture lint warnings
* Align tag contracts and index health behavior
* Fall back when tag index is unavailable
---------
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* refractor(proactive): upgrade proactive feature with disentangled job and steps
* refactor(proactive): apply audit fixes
- rename read-side job 'proactive' -> 'proactive_read' (less confusing vs the refresh pipeline)
- drop dedicated agent_wrapper.proactive; extraction reuses the default wrapper
- simplify schema: remove unused ProactiveExtractOutput/TopicUpdate, drop resource_paths
- extract no longer scans resource/ directly (daily notes already carry resource content)
- update tests and docs accordingly
* feat(proactive): strict extract-output gate and prompt total budget
- parse_extract_reply now requires a contract section (follow_ups/extends/updates
as a list); non-empty replies with misspelled section names trigger the
existing one-shot retry instead of silently checkpointing changed files
- pack_paths gains max_total_chars; extract packs newest daily material first,
keeps the first file on overflow, and records omitted files in a trailer
(default budget 300000 chars, configurable via max_total_chars)
- tests: schema gate unit, schema-error retry e2e, budget unit + e2e
* feat(proactive): add scenario-card plan step and generative agenda step
* feat(proactive): digest-personal profile personalization and leaner LLM contract
- extract/plan/agenda now draw a user profile block from <digest_dir>/personal/*.md
(frontmatter description + body excerpt, per-file budget, profile.md fallback)
- all daily access honours the configured daily_dir (prompt paths parameterized,
config-driven fallbacks) so workspaces using e.g. memory/ work unchanged
- schema trim: drop dead fields errors/material_paths, carry_forward_all -> count
- shrink LLM output contract: new topics emit title/reason/confidence/paths only;
keywords removed end-to-end, evidence derived from paths[0] (updates keep it)
* fix(proactive): skip checkpoint when extract reply stays unusable after retry
Two consecutive unparseable replies now short-circuit the round without
checkpointing, so the same material is retried next round instead of being
silently consumed (closes the residual audit #1 gap: the structural gate
detected schema-wrong output but a double failure still checkpointed).
* fix(proactive): replace running bool with reference-counted job activity tracker for the idle gate
* refactor(proactive): remove job activity tracking and idle gate, restore job tree to upstream
* fix(proactive): address second audit round (readonly reader, mtime checkpoint, wider fallbacks, profile containment, horizon content, expiry boundary)
* refactor(dream): strip interests.yaml ownership from dream, proactive is now the sole writer
* refactor(dream): separate proactive topic generation
* ci: update renamed auto dream smoke test
* fix(proactive): complete refresh migration and docs
---------
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* Add optional tag generation and normalization to auto memory
* Add tag index components and clean up temporary JSONL files
* Preserve tag index state when reconciliation fails
* Refactor and streamline application implementation
* Fix pylint C1803 warnings in tag normalization tests
* Document optional tag index configuration
* Make tag index failures non-blocking and disable auto-memory tags
* fix(tag-index): fail closed and support reindexing
* fix(tag-index): preserve complete query expressions
---------
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* fix(embedding): retry 429 rate-limit errors instead of dropping the batch
openai.RateLimitError is not a TimeoutError/ConnectionError/OSError, so
_call_with_retry's except Exception branch caught it and returned None on
the first attempt with zero backoff. Add _is_rate_limited, mirroring the
existing _is_insufficient_quota duck-typed check, and retry a 429 with the
same exponential backoff used for network errors.
* fix(embedding): insufficient_quota errors carrying status_code=429 no longer bypass quota handling
_is_rate_limited() checked status_code == 429 first, so an OpenAI-compatible
insufficient_quota error (which also carries status_code=429) matched the
generic rate-limit branch before the code=insufficient_quota check ever ran.
That meant a real quota exhaustion retried on the wrong backoff (or not at
all, when quota_retry_delay is unset) instead of the dedicated quota_retry_delay
wait.
_is_rate_limited() now defers to _is_insufficient_quota() first. The existing
quota test double now sets status_code=429 to match the real OpenAI error
shape, which is what exposes the regression without the fix.
Signed-off-by: Amir Fathi <amirfathi.me@gmail.com>
* fix(embedding): log rate-limit retries
---------
Signed-off-by: Amir Fathi <amirfathi.me@gmail.com>
Co-authored-by: jinli.yl <jinli.yl@alibaba-inc.com>
* feat(core): support live component replacement
* fix(core): serialize replacement with app lifecycle
* fix(core): preserve state during component replacement
* fix(core): roll back partial component startup
* chore(deps): add 'web' extra to reme-ai and remove reme_studio from core dependencies
- Updated reme-ai dependency to include 'as' and 'web' extras
- Removed reme_studio from core dependency list to avoid duplication or unnecessary install
* fix(core): preserve persisted state on startup failure
* chore(release): prepare ReMe 0.4.1.9
* refactor(config): remove daily_cookbook and streamline plugin configs
- Delete the entire daily_cookbook.yaml standalone application config
- Remove qwenpaw dependencies verification and related CI workflow steps
- Simplify release workflows by removing qwenpaw verification and enforcing reme-ai >=0.4.1.9
- Update plugin start commands and examples to use 'default' or 'demo' configs instead of daily_cookbook
- Adjust imports and tests related to daily_cookbook removal and injected_job_kwargs enhancements
- Refactor agent wrapper to support injected_job_kwargs for job parameter injection in auto-fin and daily-paper
- Improve daily_paper digest prompt to include configured daily directory and correct historical search constraints
- Update dependency versions in pyproject.toml files to require reme-ai >=0.4.1.9 and remove qwenpaw optional dependencies
- Clean up unused environment variables and obsolete test cases related to daily_cookbook and verification steps
* fix(local_embedding_store): retry batch computation on vector space changes
- Add up to 3 attempts to recompute embedding batch if vector space changes during processing
- Log warnings when maximum retries reached and discard stale results
- Prevent caching results from outdated vector spaces to maintain consistency
- Add tests to verify retry behavior and abort after continuous vector space churn
fix(daily_paper): update digest search logic and tests
- Change search to query existing memory, not only previous articles in daily_dir
- Allow multiple searches outside daily_dir but limit links to dated markdown in daily_dir before today
- Update test assertions to reflect revised search and linking rules
* fix(embedding): retry vector space changes per request
