98 commits

Author	SHA1	Message	Date
jinliyl	99afc2604f	fix(release): harden embedding store and plugins for ReMe 0.4.1.9 (#503) ... * 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during processing - Log warnings when maximum retries reached and discard stale results - Prevent caching results from outdated vector spaces to maintain consistency - Add tests to verify retry behavior and abort after continuous vector space churn fix(daily_paper): update digest search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	2026-08-28 11:35:04 +08:00
jinliyl	ef3f99f019	refactor(packaging): reorganize published packages (#495) ... * refactor(packaging): reorganize published packages * fix(packaging): install AgentScope extra in wheel smoke * docs: align package guides and documentation site * ci(workflow): add core dependency verification step in Python package build - Add a workflow step to verify released core dependencies by installing the wheel with core extras - Assert the presence of the static index.html file to ensure proper package contents - Create and use a temporary virtual environment for isolation during verification - Keep existing artifacts upload step intact and conditional on inputs.upload_artifacts flag * fix(ci): update package installation dependencies in Windows workflow - Change pip install from editable reme_studio and core to only dev and as extras - Remove installation of reme_studio and core to streamline dependency setup - Ensure Windows CI uses the correct extras for testing environment * fix(tests): add missing commas in toml file reads in package version tests - Added trailing commas in the tomllib.loads calls for auto-fin and daily_paper configs - Ensured consistent syntax to prevent potential tuple misinterpretation - Improved readability and correctness of the test setup code * fix(packaging): protect qwenpaw releases and test Studio health	2026-08-27 14:02:09 +08:00
jinliyl	513fb5b7f4	feat: extract Daily Paper into an independently packaged plugin (#491) ... * feat: extract Daily Paper into a plugin * fix: satisfy clean-environment quality checks * fix: address daily paper review feedback	2026-08-26 17:32:46 +08:00
jinliyl	6b9a75267b	fix(ci): support AgentScope 2.0.6 initialization (#457)	2026-08-19 11:33:52 +08:00
jinliyl	c792fd197c	Update agentscope version to 2.0.6	2026-08-18 11:04:26 +08:00
jinliyl	fd2894f939	fix: harden the 0.4.1.7 release configuration (#456) ... * fix(packaging): harden the Studio release workflow * chore(daily-paper): tune scheduled discovery defaults * fix(docs): link the ReMe blog to GitHub Pages * fix(docs): increase Chinese hero title spacing * refactor(docs): share hero title line spacing * fix(docs): keep desktop hero copy on two lines * fix(docs): widen the home hero description * style(docs): loosen hero title line height * fix(docs): hide Markdown frontmatter in rendered pages * docs(readme): simplify installation and remove standalone ReMe Studio instructions - Remove references to separate ReMe Studio package and static build steps - Clarify that `core` extra includes common integrations including Studio - Update installation instructions to use `pip install -e ".[core]"` - Remove detailed Studio usage and frontend development instructions - Note that Studio is included with `core` and optional via `web` extra - Simplify Quick Start guide by removing Studio usage step - Remove mentions of serving Studio with HTTP service when using extras - Update both English and Chinese README files accordingly * docs(readme): streamline and clarify memory design and operations - Remove redundant explanations about core extra installation - Simplify memory processing flow description for clarity - Clarify memory workspace directory default and customization - Condense automatic memory flow to emphasize rebuildable metadata - Refine search functionality explanation with RRF fusion details - Shorten and clarify agent integration description, removing redundancy - Update and simplify the operations command list, removing less common commands - Revise community and support section for conciseness and clarity - Maintain parallel updates in both English and Chinese README files * test(bump_version): add tests for version bumping and consistency checks - Add dynamic loading of bump_version and package_studio scripts for testing - Test that studio package and dependencies have matching versions - Implement fixtures to write temporary version files for testing - Add test ensuring bump_version updates all relevant files and dependencies - Add test to reject inconsistent version sources before writing - Refactor tests to use common REPOSITORY path variable - Include imports and setup for pytest in test file feat(bump_version): create script to update ReMe and Studio versions - Implement version reading from __init__.py and pyproject.toml files - Validate current versions are consistent across files before updating - Update version strings atomically to avoid partial writes - Ensure exact pinning of studio dependency in main package extras - Validate new version format against a safe pattern - Provide CLI interface to bump versions from command line - Raise errors if expected version declarations or pins are missing or duplicated * fix(release): validate split package publishing * fix(release): improve validation diagnostics * fix(release): sync docs and workflow inputs * fix(release): split PyPI publish jobs	2026-08-13 17:22:00 +08:00
jinliyl	2a05914150	feat: distribute Studio as an optional package (#454)	2026-08-13 11:07:37 +08:00
jinliyl	52fdd446fb	docs: add standalone GitHub Pages site (#448)	2026-08-12 11:55:35 +08:00
jinliyl	ab66f2bb56	docs: refresh ReMe guides, diagrams, and Studio documentation (#447) ... * docs: update ReMe documentation URL * docs: localize ReMe Studio social image * docs(AGENTS): update agent guidelines and repository documentation structure - Clarify coding agent guidance for keeping changes small and consistent - Revise project principle descriptions for clarity and modern terminology - Expand repository map with detailed component and folder explanations - Add configuration and CLI usage instructions, including syntax and merging rules - Elaborate on component, step registration, and application lifecycle processes - Define jobs, steps, and state handling conventions for stateless design - Specify workspace and file safety policies, including path restrictions and locking - Update validation commands and testing environment recommendations - Clarify coding and test conventions, including style and dependency policies - Distinguish documentation boundaries and update website content contribution notes - Reinforce change guardrails to avoid breaking backward compatibility and data loss - Improve svg diagram formatting and textual details in auto dream and proactive flow image * style(docs): fix font-family syntax in SVG style definitions - Correct quotation marks around font-family names in memory-as-file.svg - Standardize font-family formatting by removing unnecessary quotes in reme-blog-architecture.svg - Ensure consistent CSS style formatting within SVG files for better rendering fidelity * docs: add ReMe blog to news * style(docs): inline svg styles and improve text formatting - Convert multiline SVG style tags into single-line for compactness in multiple figures - Remove redundant line breaks in subtitle text elements for consistency - Shorten descriptive texts in SVG figures for clarity and conciseness - Adjust font sizes and text for better readability in SVG elements - Correct whitespace issues in Chinese markdown document for improved formatting - Remove unused style blocks from framework structure SVG for cleaner code	2026-08-12 10:59:03 +08:00
jinliyl	215c1f72f2	feat: refine local-first research and memory workflows (#444) ... * feat: refine local-first research workflows * fix: delegate structured output tool choice * refactor(auto-fin): fetch and filter rolling CLS news * fix(auto-fin): keep imports portable across platforms * feat(auto-fin): expose CLS fetch controls * fix(auto-fin): propagate configurable news window * feat(auto_fin): normalize hybrid wikilinks in report body - Add _normalize_hybrid_wikilinks method to remove redundant Markdown destinations - Use regex to identify hybrid wikilinks with optional destinations - Replace redundant destinations with simpler wikilink format for clarity - Ensure normalization is failure-safe with exception handling and logging - Update report body normalization process to apply hybrid wikilink fix - Add unit tests to verify correct normalization and failure safety behavior * fix(dream): serialize integration with application-wide asyncio lock - Add application-wide asyncio.Lock to serialize digest writes during integration - Update _snapshot_digest to capture metadata per bucket - Validate bucket association when recovering from file changes - Add tests ensuring recovery only from the correct bucket - Add tests confirming integration lock is shared across application context - Enhance strict topic YAML loading validation in dream utils - Add tests for strict topic loading rejecting invalid or lossy fields * fix(cookbook): enable configurable job_tools for digest and merge steps - Update daily_cookbook.yaml to add job_tools: [memory_search, read] in digest steps - Modify DailyPaperDigestStep to read job_tools from kwargs instead of fixed list - Modify AutoFinMergeStep to similarly read job_tools from kwargs - Update tests to pass job_tools explicitly when invoking these steps - Remove hardcoded _TOOLS constants and replace with dynamic job_tools handling * fix: retry incomplete dream receipts * perf(pdf): increase max PDF pages limit from 20 to 35 - Updated configuration max_pdf_pages from 20 to 35 in daily_cookbook.yaml - Modified code to extract up to 35 pages instead of 20 in analyze.py - Updated README and README_ZH to document the increased max_pdf_pages - Adjusted unit test assertions to reflect new max_pdf_pages limit of 35 * fix memory integration and daily paper links * docs clarify cookbook tool usage	2026-08-11 23:32:34 +08:00
jinliyl	9533c17d51	feat(web): serve workspace from HTTP service (#446) ... * feat(web): add the ReMe workspace frontend * feat(web): serve workspace from HTTP service * test(web): satisfy pylint docstring checks * fix(web): use same-origin API safely * fix(web): preserve API route semantics	2026-08-11 23:32:24 +08:00
jinliyl	072cb6a55b	feat(daily-paper): add opt-in Hugging Face mirror support (#437) ... * feat(daily-paper): add Hugging Face mirror switch * refactor(daily-paper): simplify the HF mirror switch and warn on ignored env The switch was a three-state bool|None where None preserved the legacy environment-driven selection, but no production caller ever passes None -- collect.py always resolves an explicit bool. Collapse it to a plain bool defaulting to False. HF_MIRROR_URL no longer redirects traffic on its own, so warn when it is configured while the mirror stays disabled; a mirror-only setup would otherwise fall back to the official site with no signal. Both READMEs now record the behavior change and stop presenting the two mirror variables as symmetric -- arXiv remains environment-driven while Hugging Face is gated on the job parameter. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> * fix(daily-paper): address mirror configuration feedback --------- Co-authored-by: Claude Opus 5 <noreply@anthropic.com>	2026-08-10 15:57:24 +08:00
lichen2015	ad4f23e4dc	feat(file_store): add ZvecLocalFileStore backend (#410) ... * feat(file_store): add ZvecLocalFileStore backend - Implement ZvecLocalFileStore with native zvec collection for ANN search. - Keep JSONL chunks as the source of truth; rebuild collection from chunks when sidecar digest/dimension/HNSW M mismatch is detected. - Add dedicated unit tests in tests/unit/test_zvec_file_store.py. - Parametrize existing file_store consistency tests to cover both LocalFileStore and ZvecLocalFileStore. - Register the new backend in reme/components/file_store/__init__.py. * fix(file_store): fix zvec collection sync and content validation, declare zvec dependency	2026-08-05 22:08:30 +08:00
jinliyl	1687179f84	feat: add Auto Fin cookbook and managed outbound proxy support (#392) ... * feat: add ssh proxy * feat: add ssh proxy * feat: add ssh proxy * feat: add ssh proxy * feat: add prompt * feat: add agent wrapper * feat: add agent wrapper * feat: add agent wrapper * feat: add tushare skill * feat: add tushare skill * feat: add tushare skill * feat: add none stream * chore(deps): update dependency versions in pyproject.toml - Bump claude-agent-sdk from 0.2.123 to 0.2.126 - Upgrade pre-commit to version 4.6.1 or higher - Upgrade pytest to version 9.1.1 or higher * feat(agent_wrapper): add session compaction support and unify session commands - Introduce compact_session method to BaseAgentWrapper and implement it in AsAgentWrapper, CcAgentWrapper, and CodexAgentWrapper - Add session_command module with SessionCommandResult dataclass and handle_session_command function for /clear and /compact commands - Update __init__.py exports to include session_command handlers - Modify DingTalkWaitStep to handle session commands via handle_session_command function - Remove streaming mode from DingTalkWaitStep and simplify reply handling to final Markdown replies only - Add unit tests for session compaction methods and session command handling across wrappers and DingTalk integration - Clean up and remove obsolete streaming and card rendering code from DingTalk wait step - Adjust daily_cookbook.yaml to remove stream and card_update_interval config entries for DingTalk wait step * feat(auto_fin): add Auto Fin simulated portfolio cookbook workflow - Add comprehensive Auto Fin schema exports for multiple models and enums - Implement base class and helpers for Auto Fin analysis steps - Create file, state, and formatting utilities for Auto Fin with atomic file writes and locking - Define Auto Fin pipeline with four analysis agents: backtest, event, portfolio, and US correlation - Register Auto Fin package in cookbook workflows and schema initialization - Add detailed documentation in markdown describing the system design, workflow, and data contracts * feat(outbound_proxy): add application-scoped outbound HTTP proxy components - Introduce BaseOutboundProxy and OutboundProxyEndpoint as core contracts - Implement FixedHttpOutboundProxy for external HTTP proxy integration - Add SshHttpOutboundProxy providing SSH-backed local HTTP proxy tunnels - Register outbound proxy components in component registry and enumeration - Update components package to include outbound_proxy module - Add dependency on pproxy for SSH HTTP proxy bridging - Include comprehensive unit tests covering proxy lifecycle, validation, environment merging, error handling, readiness, and monitoring mechanisms * refactor(network): replace SSH proxy with explicit HTTP outbound proxy - Remove SSH proxy helper implementation and references in codebase - Add support for explicit HTTP proxy URL in arXiv and HuggingFace clients - Modify clients to use async context manager for consistent resource handling - Update daily paper steps to forward outbound proxy configuration explicitly - Change tests to cover new proxy usage model and remove SSH proxy mocks - Add outbound proxy component configuration in daily_cookbook.yaml - Ensure proxy URL usage disables environment trust in HTTP clients - Fix app context component enum access to be defensive against missing keys * feat(agent_wrapper): add managed proxy support for command environments - Introduce BaseOutboundProxy binding in BaseAgentWrapper for outbound proxy management - Add bash_environment and command_proxy_environment properties to apply proxy settings - Update WorkspaceBackend instantiation in AsAgentWrapper to use bash_environment - Inject managed proxy export commands into Claude Code Bash commands via hooks - Enhance CodexAgentWrapper to include managed proxy in shell environment policy - Modify daily_cookbook.yaml steps to specify outbound_proxy as default where needed - Add comprehensive unit tests verifying managed proxy injection and environment isolation - Ensure subprocess_environment remains unchanged while proxy is applied selectively to commands * refactor(memory): replace search job_tools with memory in daily cookbook config - Change workspace_dir default from .reme to reme_workspace - Replace search job_tools with memory across multiple components and jobs - Update descriptions to reflect long-term memory retrieval instead of search - Modify system prompts to instruct using memory for retrieving notes - Adjust unit tests to verify memory job_tools and job presence instead of search - Ensure consistency in configuration and tests for memory backend usage * refactor(config): rename memory to memory_search in daily cookbook config - Change all occurrences of "memory" to "memory_search" in job_tools and job definitions - Update related system prompts to reflect the new memory_search terminology - Modify unit tests to assert the presence of memory_search instead of memory - Ensure consistency across skills, job tools, and backend configurations in multiple components * feat(auto_fin): add deterministic quantitative research and ranking fusion - Introduce new schema models: EtfScore, RankingMetrics, ExtremeAnalysis, DimensionRanking, and FusionRanking to represent deterministic research outputs - Add ranking data to event, backtest, us_correlation, and portfolio analysis outputs - Implement ranking_section renderer to format Top20 scores and diagnostics in Markdown - Develop AutoFinQuantStep for deterministic ETF ranking using TuShare data, Polars, and a custom extremely randomized tree ensemble - Integrate quantitative rankings into backtest and portfolio analysis steps and reports - Extend auto_fin pipeline with new quant_enabled and quant_required config options - Enforce ranking constraints like unique codes, contiguous ranks, and normalized fusion weights - Update analysis YAMLs with rules limiting data freshness, universe, and ranking usage - Incorporate ranking outputs into all major markdown report bodies in Auto Fin pipeline - Add concurrency-limited asynchronous TuShare client to fetch required market data - Introduce cross-sectional rank correlation and NDCG metrics for ranking quality evaluation * feat(auto_fin): implement stage-wise notification and reporting for analysis pipeline - Refactor notification config in daily_cookbook.yaml to support dispatch steps - Update AutoFinNotificationStep to deduplicate notifications per run stage - Add _notify_stage method in pipeline to send notifications for each analysis stage - Implement persistence and notification for event, backtest, US correlation, and portfolio stages - Modify pipeline flow to persist reports and notify after each stage completion - Adjust metadata to track notifications and errors per stage - Update tests to verify stage-wise notification sending and deduplication - Remove older combined report persistence in favor of modular stage handling * feat(auto_fin): add outbound proxy support for Tushare API usage - Introduce BaseOutboundProxy reference in AutoFinPipelineStep and AutoFinQuantStep - Update TushareResearchClient and trade calendar fetch to accept and use proxy URL - Create _ProxiedTushareApi adapter to route Tushare requests via explicit HTTP proxy - Modify create_tushare_api utility to optionally return proxied API client - Add unit tests covering proxy forwarding and client behavior with managed proxies - Ensure proxy usage respects explicit proxy URL over environment fallback - Integrate outbound proxy into data fetching and quantitative research steps * feat(auto_fin): enforce checkpoint time validation and add state models - Introduce AnalysisState base class and specific states for event, backtest, and US correlation analyses - Replace analysis output types with corresponding state classes in run schemas - Add require_checkpoint_reached method to validate decision_at/data_cutoff against current time - Enforce checkpoint time checks before analysis steps in event, backtest, portfolio, and quant analyses - Refactor quant data loading to include adjustment factors and apply price adjustments without fallback - Update analysis YAML docs to require real-time checkpoint validation and forbid using future data - Improve portfolio run serialization by excluding redundant legacy fields and nested proposed actions - Add helper to extract readable sections from persisted checkpoint documents - Fix event analysis output validation to reject events and sources with future timestamps * feat(auto_fin): auto-select latest reached checkpoint if none specified - Extend checkpoint config to accept empty string for auto selection - Add static method to compute latest checkpoint reached by current time - Modify pipeline step to auto-select checkpoint based on trade calendar and time - Adjust force flag default depending on whether checkpoint is explicit or auto - Log details when checkpoint is auto-selected to improve observability - Add comprehensive tests for auto checkpoint selection logic and edge cases - Remove deprecated default and required constraints from force parameter in config * refactor(auto_fin): unify datetime comparison with compare_datetimes utility - Replace direct datetime comparisons with compare_datetimes function calls - Use cmp_to_key with compare_datetimes for sorting datetime tuples and lists - Update validation logic in backtest, event, analysis, and ledger modules for consistent datetime handling - Add unit tests to verify handling of naive and aware datetime comparisons in event and backtest validations - Ensure marked_at and interval_end timestamps are set and compared consistently using compare_datetimes - Improve correctness of ordering and conditional checks related to timestamps throughout auto_fin steps and ledger code * feat(auto_fin): add datetime comparison helper for mixed timezone data - Implement compare_datetimes function to handle naive and aware datetimes - Ensure naive datetime is interpreted in the known timezone of the counterpart - Facilitate comparisons between legacy and timezone-aware Auto Fin data - Add module docstring explaining purpose of the helpers * docs(auto_fin): enforce unique ETF representative per sub-theme in analysis rules - Update backtest.yaml to recommend or highlight only one ETF per sub-theme for ETF analyses - Modify event.yaml to map only one representative ETF per sub-theme, avoiding duplicate recommendations - Revise portfolio.yaml to restrict holdings/buys to a single ETF per sub-theme, preventing repeated buys of highly overlapping ETFs - Adjust us_correlation.yaml to retain only one representative A-share ETF per sub-theme for mapping or recommendation - Add test to verify presence of new sub-theme uniqueness guidance in step prompts * feat(auto_fin): separate draft model and include deterministic fusion ranking - Introduce _PortfolioProposalDraft pydantic model for agent-authored fields before ranking - Discard any "fusion_ranking" data from draft to prevent conflicts with canonical ranking - Modify AutoFinPortfolioStep to receive draft, enrich with fusion_ranking, and produce final output - Update tests to use _PortfolioProposalDraft and validate deterministic fusion ranking propagation - Add async test verifying fusion ranking is correctly set in portfolio output with no errors * refactor(auto_fin): rewrite and simplify Auto Fin schema and steps - Remove legacy Auto Fin analysis step modules and helpers - Replace complex ranking and portfolio models with simplified current-news models - Update schema to focus on news-case workflow with new domain models - Remove A-share decision checkpoints and backtest details from schema - Simplify recommendation and decision output structures - Clean up deprecated state and utility functions - Update Auto Fin steps initialization to new pipeline steps only - Improve uniqueness validation for themes and ETFs in research plan * feat(auto_fin): implement full local cache and analysis workflow for Auto Fin - Add AutoFinDataStep to prepare and cache daily TuShare data with lookback - Add AutoFinAnalysisStep to analyze cached data and generate Markdown report - Implement detailed time window, ETF filtering, and historical case validation - Introduce YAML prompts for planning and decision-making steps - Update .gitignore to include reme_workspace/ - Clean up config and import structure for auto_fin steps - Remove old pipeline.py and consolidate functionality into new modules - Use polars for efficient CSV reading and data processing - Ensure atomic writes and strict JSON serialization for cache files - Enforce rules on news timing, ETF universe, and historical case usage * fix(auto_fin): restrict news data source to '财联社' in analysis and cache - Update analysis templates to specify current news as from '财联社' only - Modify news fetching functions to filter by source '财联社' - Add validation method to check cached news source correctness - Update news caching logic to exclude non-'财联社' news - Enhance unit tests with multiple sources to ensure filtering works - Confirm news API calls include source filter parameter as '财联社' * refactor(auto_fin): convert I/O methods to asynchronous implementations - Change _news, _dataset, and _theme_data methods to async for improved concurrency - Move JSONL and CSV reading operations to asynchronous wrappers using asyncio.to_thread - Remove synchronous _read_jsonl and _read_csv functions, integrate them as static async class methods - Update cache validation methods to async, awaiting I/O operations accordingly - Adjust usage of dataset and news retrieval in analysis step to await asynchronous methods - Add async unit test to validate JSONL reading with unicode line separators - Preserve existing functionality while enabling non-blocking file and data access * fix(nx_file_graph): defer networkx import and improve dependency handling - Move networkx import inside NxFileGraph constructor for lazy loading - Raise ImportError with original exception context if networkx is missing - Remove module-level fallback assignment of nx to None - Expand test to block loading of multiple optional core dependencies eagerly - Change exception type in test from ModuleNotFoundError to AssertionError - Update test comments to reflect broader optional dependency checks * feat(embedding_store): add quota retry delay mechanism for embedding requests - Introduce quota_retry_delay parameter to configure wait time before retry on quota exhaustion - Implement detection of insufficient quota errors in LocalEmbeddingStore without external SDK - Add retry logic with custom delay when quota is insufficient during embedding requests - Update configuration to set max_retries and quota_retry_delay defaults for embedding store - Add unit tests covering quota exhaustion retry behavior with delay and opt-in control - Ensure existing retry behavior remains unchanged if quota_retry_delay is not set * feat(auto_fin): add detailed logging to analysis and data fetching steps - Add _preview static method for bounded diagnostic output in analysis.py - Log prompt start, completion, errors, and validation details in _reply method - Add info logs for major processing steps in execute method of analysis.py - Add debug and info logs for cache validation, data fetching, and pagination in data.py - Log conditions for skipping reports and cache plans in data.py execute method - Log download summaries and cache writes for news and ETF data - Improve error logging with exception details in cache validation functions - Ensure all logs include context such as record counts, paths, and parameters * refactor(auto_fin): overhaul Auto Fin workflow and schema contracts - Replace old Auto Fin schema models with comprehensive new data classes - Remove legacy Auto Fin analysis step in favor of modular agent-based steps - Introduce AutoFinAgentStep for validating structured agent replies - Simplify data cleaning and JSONL writing utilities for news cache - Remove synchronous and asynchronous dataset methods from analysis step - Redefine Auto Fin analysis configuration for 360-day news retention and multi-step pipeline - Remove embedded analysis prompt templates and replace with agent-driven logic - Update __init__.py exports to match new step implementations and remove deprecated classes - Improve error handling and validation in agent step reply processing - Clean up redundant imports and unused code in analysis and data preparation modules * feat(auto_fin): add detailed logging for analysis and data processing steps - Add timing logs to measure agent prompt processing duration in analysis.py - Log news cache hits and news write paths with record counts in data.py - Include detailed info logs for news download start and completion in data.py - Add start, progress, and completion logs with topic and event counts in history.py - Log start and completion of merge step including path and ETF count in merge.py - Add start and done logs with window and news counts in topic.py * feat(auto_fin): enhance schema and steps with detailed ETF and event modeling - Replace and add multiple AutoFin schema classes to support detailed ETF selection, historical research, market analysis, forecast models, and report output with validation - Implement Shanghai timezone normalization and strict validation in schema models - Remove deprecated AutoFin analysis agent step and consolidate reply handling in base step - Introduce AutoFinStep base class with shared helpers for prompt handling, data fetching, logging, and JSONL file operations - Add AutoFinDataStep to manage daily news data complete with schedule validation, caching, and source validation logic - Update cookbook configuration to customize auto_fin step parameters and simplify outbound proxy settings - Refactor imports and clean unused code for better maintainability * feat(auto_fin): introduce detailed historical event resolution and market similarity analysis - Add AutoFinHistoricalEventReference and AutoFinHistoricalSimilarity models for refined event referencing and similarity judgment - Implement validation to ensure non-empty critical fields and uniqueness of historical news IDs - Develop method to resolve Agent-selected historical event references from workspace files with strict path and existence checks - Enrich historical events with market entry and future returns data after resolution - Redesign market step to calculate similarity-weighted ETF forecasts based on matched historical event similarities - Enforce validation on matched historical events for uniqueness and proper weight summation - Simplify merge step output to final Markdown report without YAML frontmatter and redundant fields - Update user instructions for history search, market, and merge steps to reflect new data structures and responsibilities - Adjust test suite to cover new schema and step behavior changes, including enhanced validation and JSON output formats * feat(auto_fin): add new cron jobs and output analysis jsonl - Add new cron jobs auto_fin_1145_cron and auto_fin_1800_cron with auto_fin_steps - Change auto_fin_0930_cron schedule to run Monday to Sunday - Extend merge step to write analysis data to auto_fin_analysis.jsonl - Update unit tests to verify new cron jobs and their steps configuration * fix(auto_fin): improve atomic file write and refresh daily index - Change temporary file naming to include UUID for uniqueness and hidden prefix - Replace atomic write method from using Path.replace to os.replace with safe unlink - Add import and use os.replace for safer file replace operation - Refresh daily index after writing auto finance markdown and JSONL files - Import and call refresh_day_index in merge step to update file index asynchronously * docs(cookbook): add optional SSH proxy configuration in README files - Introduce optional SSH proxy setup in auto-fin and daily_paper cookbooks - Provide instructions to enable outbound proxy via `daily_cookbook.yaml` and environment variables - Add `REME_PROXY_IP` and `REME_PROXY_ACCOUNT` environment variables descriptions in multiple README files - Update English and Chinese README and README_ZH documents with proxy details - Maintain consistent formatting of environment variable tables across documents * fix(file_io): include schema_version in hidden metadata keys - Added "schema_version" to _INDEX_HIDDEN_METADATA_KEYS in _daily_index.py - Updated _render_notes_block to always include additional keys regardless of schema_version fix(deps): move pproxy dependency to later in pyproject.toml - Removed pproxy from early dependencies list - Added pproxy back near the end of dependency list for better ordering fix(outbound_proxy): require pproxy package for ssh_http proxy - Added importlib.util check for pproxy package presence - Raise RuntimeError if pproxy is not installed when using SSH HTTP outbound proxy - Improved error message suggests installing reme-ai with 'core' extra * docs(readme): update News section with new Cookbook workflows - Clarify introduction of optional Cookbooks with Daily Paper and Auto Fin workflows - Update English README to reflect both paper discovery and file-native ETF event research - Revise Chinese README to include financial news and historical market data research capability - Maintain announcement of paper acceptance at Findings of ACL 2026 * feat(auto_fin): add calculation results to final Markdown output - Implement _calculation_results to summarize forecast for each ETF analyzed - Include program-calculated results in the JSON input for the Markdown report - Update YAML template to incorporate calculation results and adjust recommendation rules - Refine recommendation logic to rely on event impact judgments combined with calculation outputs - Modify tests to verify presence of calculation results and updated report content and format * up prompt * fix(keyword_index): ignore non-indexable chunks during keyword sync - Add is_indexable method to base and BM25 keyword index classes to check text tokenizability - Update local file store to exclude non-indexable chunks from expected document IDs to prevent rebuild - Fix JSONL chunker to correctly handle Unicode line separator U+2028 inside JSON strings without splitting - Add test to ensure non-empty but non-indexable chunk does not trigger keyword index rebuild - Add test to verify U+2028 character does not cause incorrect JSONL record splitting	2026-07-25 18:09:39 +08:00
jinliyl	46adb5ae1e	feat: add daily paper cookbook and DingTalk agent integration (#385) ... * feat(daily-paper): add daily paper cookbook workflow with schema and tests - Introduce daily paper schema types (DailyBriefOutput, PaperInfo, PaperNoteOutput, etc.) - Create daily paper cookbook module with analyze, collect, digest, rank, and select steps - Add cookbook entry point and integrate into main steps module - Replace job config export with daily brief output in schema exports - Add comprehensive unit tests covering pipeline, filtering, and output generation - Update dependencies including openai-codex and pypdf packages - Configure standalone daily paper cron job with proper scheduling and routing * test(daily_paper): update tests to use Claude Code wrapper exclusively - Add test to verify web search is disallowed by default in Claude Code - Update imports to include DailyBriefOutput, PaperNoteOutput, and PaperSelection schemas - Change test name from standalone_config_has_backend_split to reflect Claude Code only usage - Remove default agent wrapper and configure all steps to use Claude Code wrapper - Rename select_wrapper to cc_wrapper for clarity and consistency - Remove duplicate Claude Code wrapper initialization - Update test assertions to verify output schema usage matches expected sequence - Remove unused as_llm component from standalone configuration test * refactor(agent-wrapper): simplify skill resolution logic across all wrappers - Replace duplicate skill resolution code with centralized _resolve_project_skills method - Add project_path property with configurable relative path resolution - Introduce proper validation for skill names and directory existence - Change Codex wrapper to use project_path instead of workspace_path for skills - Add SKILL.md requirement validation for project skills - Remove redundant skill processing logic from individual wrappers * feat(daily_paper): add daily paper workflow with PDF analysis and brief generation - Implement shared state management and file helpers for daily-paper steps - Add PDF download and text extraction capabilities with arXiv integration - Create paper collection step with Hugging Face weekly/monthly rankings - Build ranking system using reciprocal-rank fusion with memory keyword scoring - Add Claude Code integration for paper analysis and detailed note generation - Implement digest step to create final five-minute brief from detailed notes - Add configuration for standalone daily cookbook application with cron scheduling - Create typed schema for paper information, selection, and output formats - Add atomic file writing with temporary file safety mechanisms - Implement exclusion logic for previously recommended papers and daily filters * feat(daily_paper): add DingTalk notification integration and enhance logging - Integrate DingTalk markdown send step to notify groups about daily paper briefs - Add comprehensive logging throughout daily paper workflow including start/finish events - Update daily paper analysis prompt to include code repository context requirement - Configure DingTalk notification in daily_cookbook.yaml with app credentials - Add dingtalk-stream dependency for proactive message API integration - Enhance daily paper README with DingTalk notification section and updated flow chart - Implement detailed logging for each step including paper processing and agent calls - Add test coverage for DingTalk markdown sending functionality and configuration - Update pre-commit config to exclude skills directory from checks - Add .claude/skills to gitignore for local development environment * refactor(dingtalk): move dingtalk_stream import to local scope and improve code safety - Moved global dingtalk_stream import to local scope in send.py to avoid eager loading - Added dynamic import with error handling for optional dependency cases - Updated test suite to verify lazy loading behavior works correctly - Fixed markdown title generation by using safe variable naming in wait.py - Enhanced test coverage for arxiv PDF download caching functionality - Updated application context initialization with proper resource directory configuration - Modified paper metadata to include source PDF path reference in output files * refactor(daily_paper): remove manifest system and store selection metadata in digest files - Remove JSON manifest creation and storage functionality - Store selection data directly in digest file frontmatter instead of separate manifest files - Add load_saved_selection method to rebuild selection from digest and paper-note metadata - Update README documentation to reflect new cookbook workflow architecture - Modify test cases to verify selection metadata in digest files instead of manifest JSON - Remove unused json import from multiple daily paper modules - Integrate PaperSelection schema for proper data validation in stored metadata * docs(daily_paper): add bilingual cookbook guides	2026-07-22 19:17:01 +08:00
jinliyl	e7d44f6f3b	refactor(agent): unify agent subprocess env, sessions, skills, and MCP/service jobs (#382) ... * feat(config): add environment variable configuration for agent subprocesses - Add environment field to ApplicationConfig to store variables for agent subprocesses - Remove dynamic loading of .env files in agent wrappers - Introduce subprocess_environment property in base agent wrapper - Pass application-level environment variables to Claude Code and Codex agents - Load environment variables once at startup and pass to ReMe application - Remove dependency on load_env utility in agent wrapper implementations - Update tests to use configured environment instead of dynamic loading - Remove unused environment loading utilities and related test cases * refactor(mcp): remove channel notification system and related components - Removed channel notification step implementation - Removed claim channel step implementation - Removed ChannelSink class from MCP service - Removed channel-related documentation from AGENTS.md - Removed channel instruction text from MCP service - Removed all channel-related tests - Updated application context metadata comment to remove channel sink reference - Removed channel module initialization and imports * feat(service): add job whitelisting capability to BaseService - Add optional jobs parameter to BaseService.__init__ to configure job whitelist - Store jobs as set in self.jobs attribute for efficient lookup operations - Modify add_jobs method to filter jobs based on whitelist configuration - Update documentation in both English and Chinese to describe new feature - Add comprehensive unit tests for job whitelisting behavior - Implement flowchart update showing new filtering logic - Preserve existing enable_serve flag behavior alongside new whitelisting * refactor(service): enhance service job validation and MCP tool injection - Add strict validation for service jobs whitelist with detailed error messages - Implement injected job arguments support for MCP services with conflict detection - Add tool error handling for unsuccessful responses in MCP services - Remove duplicate job names in Codex agent wrapper using dict.fromkeys - Update MCP server argument format from single JSON array to repeated --job flags - Add comprehensive test coverage for job injection and error handling scenarios - Update documentation to reflect service job validation and MCP features - Ensure application cleanup occurs even when service lifespan encounters errors * feat(agent): update skill handling to preserve existing Claude skills - Change skills parameter processing to use 'all' instead of filtered list - Add logic to select project skills without restricting Claude's existing skills - Update variable naming from 'skills' to 'selected_skills' for clarity - Modify application context metadata documentation to clarify in-memory state usage - Add test case to verify configured skills are added without filtering existing skills - Update internal skill directory handling to use renamed variable consistently * refactor(agent): restructure agent wrapper components and session storage - Move CcFileSessionStore to separate module for better organization - Add SDK package version logging in base agent wrapper - Update Claude Code agent to use new session store structure with project keys - Refactor Claude Code agent wrapper to use proper type hints and SDK integration - Add support for server tool use events in Claude Code message processing - Improve error handling and resource cleanup in streaming operations - Update Codex agent wrapper with proper type annotations and configuration - Remove deprecated system prompt mode handling from Claude Code wrapper - Fix session path construction for Claude Code transcript storage - Update dependency injection and configuration handling patterns * fix(cc_agent_wrapper): resolve Claude Code SDK integration issues - Added dataclass import and created _BlockState for content block metadata tracking - Implemented proper MCP server name constant and tool context ID validation - Fixed tool_context_id injection to prevent duplicate assignment errors - Resolved skills parameter handling in build_options method - Enhanced job tools integration with MCP servers mapping validation - Replaced deprecated block_ids/block_types/tool_call_names with block_states dict - Updated message_delta to emit USAGE chunks instead of REPLY_END - Fixed stream result handling to ensure proper REPLY_END emission - Improved error handling for session mirror failures and rate limits - Added proper cleanup for expected trailing errors in streams - Refactored Codex agent wrapper initialization and configuration management - Removed obsolete system_prompt_mode from default config - Enhanced test coverage for new block state and error handling features - Fixed async generator handling with aclosing context manager - Improved chunk type mapping for Claude Code SDK events * refactor(tests): remove demo config tests from config parser test suite - Removed test_demo_config_registers_llm_jobs function and its assertions - Eliminated verification of LLM demo job configurations - Removed checks for agent wrapper component settings - Deleted assertions for model configurations and parameters - Cleaned up deprecated test cases related to demo config parsing * refactor(evolve): simplify Claude Code session store path structure - Removed redundant project key subdirectory from session link generation - Updated CcFileSessionStore initialization to use direct session directory path - Maintained existing session layout compatibility for backward compatibility - Added unit tests to verify session persistence behavior with existing transcripts - Ensured UUID-based session files remain accessible at expected locations - Preserved existing session directory structure without additional nesting * refactor(agent): defer optional Codex SDK imports until first use - Moved openai-codex imports inside functions to avoid mandatory dependencies - Added TYPE_CHECKING guard for development time type checking only - Implemented lazy loading mechanism with _get_async_codex_class function - Updated AsyncCodex initialization to occur on demand rather than at module level - Maintained backward compatibility while improving import performance - Added test case to verify package import works without optional Codex SDK - Updated agentscope dependency to version 2.0.4.post1 in pyproject.toml * test(embedded): add compatibility tests for in-process ReMe embedding - Add test suite for QwenPaw-style embedded configurations - Verify optional defaults remain preserved in embedded configs - Ensure in-process application API stays compatible - Test model injection and lifecycle management compatibility - Remove obsolete hermes agent plugin tests - Update CLI import test to cover multiple optional SDKs - Block claude_agent_sdk and openai_codex during import testing	2026-07-20 23:52:14 +08:00
jinliyl	c1a25e9ff4	feat(agent): add Codex agent wrapper and ReMe MCP bridge (#358) ... * feat(agent): add Codex wrapper integration * feat(agent): enhance agent wrapper functionality and add comprehensive testing - Implement structured output schema normalization across all wrappers - Add Claude Code system prompt mode support with append/replace options - Introduce Codex agent wrapper with streaming, tool context isolation, and skill management - Enhance skill linking with validation and conflict resolution - Add approval event streaming support for Codex wrapper - Implement output schema validation and normalize function - Create dedicated test suites for Claude Code and Codex integration - Update README documentation for Codex wrapper capabilities - Refactor kwargs merging with proper schema handling - Add tool context validation when resuming sessions - Implement proper cleanup and session management for Codex wrapper * test(cc-agent): add test coverage for structured output scenarios - Add docstring for empty schema validation in build_options - Document falsy structured output preservation behavior - Add docstring for streaming wrapper schema rejection - Include lambda function reference for wrapper factory consistency - Add test documentation for live Codex wrapper contract exercise * docs: revert README changes * fix(agent): interrupt abandoned Codex turns	2026-07-17 13:39:18 +08:00
jinliyl	bf7ca17705	feat(benchmark): add LongMemEval golden answer validation (#335) ... * feat(benchmark): add golden answer validation and session review for LongMemEval - Introduce GoldenCheckStep to validate LongMemEval golden answers using structured verdicts - Add SessionReviewStep to extract query/answer-relevant evidence from all sessions - Implement concurrent session processing with configurable concurrency limits - Create check_golden job configuration with lme_review and lme_judge agent wrappers - Add Qwen3.7-plus model configuration for enhanced processing capabilities - Include python_execute tool integration for agent-based reasoning and date validation - Generate comprehensive JSON output with session summaries and validation verdicts - Add run_check_golden.py script for batch processing across all LongMemEval samples - Configure proper logging initialization with console and file output options - Update component registry and file I/O modules to support new benchmark features * feat(scripts): add script to summarize LongMemEval check_golden verdicts - Parse check_golden.json files across all LongMemEval samples - Calculate accuracy metrics for golden answers and session IDs - Provide breakdown by question type with percentage calculations - Add command line options for listing bad samples and JSON output - Include progress tracking showing completed vs pending samples - Display confidence scores and date sanity checks statistics * refactor(benchmark): move golden check scripts to longmemeval directory - Moved run_check_golden.py from scripts/ to benchmark/longmemeval/ - Moved stats_check_golden.py from scripts/ to benchmark/longmemeval/ - Updated path resolution to use parents[2] instead of parent.parent - Added new --list-run-failed option to stats script - Added logging directory constant and functions for tracking launched samples - Enhanced stats output with launched count and run failure information - Improved error reporting with run failure details and log file paths * feat(benchmark): add LongMemEval agentic answer workflow with session extraction - Add LmeAgenticAnswerStep, LmeAutoMemoryStep, and LmeExtractSessionStep to __init__.py - Create shared helper render_with_source for displaying search results with session_id - Implement agentic_answer step with vector_search, bm25_search, and extract_session_by_id tools - Add auto_memory step to convert each session into search-friendly daily notes - Create extract_session step to retrieve and analyze raw session content by session_id - Update jinli_lme.yaml with auto_memory, vector_search, bm25_search, and agentic_answer jobs - Configure lme_memory, lme_extract, and lme_agentic_answer agent wrappers - Enhance search steps with include_source option to show session_id metadata - Add proper session_id tracking and collision handling in daily note generation * feat(benchmark): add LongMemEval agentic answer evaluation pipeline - Add session_id tracking to agentic_answer.py result metadata - Introduce run_agentic_answer.py driver for complete pipeline execution - Implement auto_memory, update_index, and agentic_answer job orchestration - Add concurrent execution with configurable limits and staggering - Create aggregation script for collecting tool-call trails and results - Add stats_agentic_answer.py for comprehensive result analysis - Implement resume capability with existing output detection - Generate aggregate.json with per-sample breakdown and tool call summaries * feat(steps): add ClearPathsStep for cleaning workspace outputs before rebuild - Introduce ClearPathsStep to remove stale workspace files/directories - Add support for specifying paths and config_keys as targets to clear - Implement safety checks to prevent deletion of files outside workspace - Add logging for cleared paths and warnings for invalid paths - Configure clear_paths_step in jinli_lme.yaml to clean daily_dir - Add clear_paths_step to clean mem_answer.json before rebuilds * feat(benchmark): add resume functionality to agentic answer runner - Replace --force flag with --resume flag for controlling job execution - By default every job reruns with clean rebuild behavior using config clear steps - Add --resume option to skip samples whose output already exists and continue interrupted batches - Update documentation to reflect new default clean rebuild behavior - Modify job skipping logic to honor resume flag instead of force flag - Update dry-run output to show correct todo jobs based on resume status - Change default example command to use --resume for continuing interrupted runs * feat(benchmark): generate JSONL output for check golden records - Add write_check_golden_list function to create JSONL file - Write all readable check_golden records as JSONL format - Include check_golden_list path in stats output - Display generated JSONL file path in summary report - Maintain UTF-8 encoding with non-ASCII character support * refactor(benchmark): rename answer judge step and integrate LME LLM judge - Rename AnswerJudgeStep to LmeLlmJudgeStep and update imports - Add new llm_judge configuration in jinli_lme.yaml - Update run_agentic_answer.py to include llm_judge in pipeline - Modify LmeLlmJudgeStep to read from query.json and answer.json - Write LLM judgement results back to mem_answer.json - Add command line options for start/end sample range selection - Update aggregate.json generation to include LLM judgement data - Add resume capability for llm_judge job based on judgement presence * refactor(benchmark): rename answer judge step and integrate LME LLM judge - Rename AnswerJudgeStep to LmeLlmJudgeStep and update imports - Add new llm_judge configuration in jinli_lme.yaml - Update run_agentic_answer.py to include llm_judge in pipeline - Modify LmeLlmJudgeStep to read from query.json and answer.json - Write LLM judgement results back to mem_answer.json - Add command line options for start/end sample range selection - Update aggregate.json generation to include LLM judgement data - Add resume capability for llm_judge job based on judgement presence * feat(steps): add wait_for_paths_step to block until workspace files exist - Introduce WaitForPathsStep class that polls for required workspace-relative paths - Add step registration with 'wait_for_paths_step' backend identifier - Implement path validation to ensure targets are within workspace boundaries - Add polling mechanism with configurable intervals via poll_seconds parameter - Include logging functionality with log_every_seconds parameter for status updates - Add metadata tracking of waited paths and duration in response object - Register step in index module and expose in public API - Configure step in jinli_lme.yaml to wait for session_review.json before golden check - Add script rename from run_check_golden.py to run_golden_check.py with enhanced options * feat(benchmark): enhance longmemeval benchmarking with concurrency and progress tracking - Add benchmark extra dependency group with portalocker requirement - Introduce concurrent execution support for golden_check and session_review workflows - Add progress reporting interval option with real-time status updates - Implement global throttling mechanism for session review requests using file locks - Enhance golden check validation with current schema verification - Add active task tracking and graceful shutdown handling - Rename check_golden scripts to golden_check for consistency - Update statistics reporting with correct/incorrect terminology instead of reasonable - Add stale format detection and compatibility handling for verdict fields - Include both_correct rate calculation in accuracy metrics - Add concurrency and staggering options for better resource management * ci(workflow): add Windows smoke test workflow - Create new workflow file .github/workflows/windows-smoke.yml - Configure workflow to trigger on push and pull request events - Set up Python environment with version 3.11 - Install package dependencies using pip - Run version job as smoke test for CLI functionality - Enable concurrency control to prevent duplicate runs - Use matrix strategy for Python version testing * feat(benchmark): add retry mechanism and health check for session review - Added retry configuration options (retry_initial_seconds, retry_max_seconds, retry_max_attempts) to jinli_lme.yaml - Implemented exponential backoff retry logic with configurable parameters in session_review step - Added output_is_healthy function to verify session_review.json integrity and absence of failed reviews - Updated resume functionality to skip only healthy outputs instead of all existing files - Integrated JSON parsing and validation to check for failed reviews in output files - Enhanced error handling and logging for retry attempts and recovery scenarios * feat(benchmark): add LongMemEval session review statistics script - Create stats_session_review.py to summarize session_review.json artifacts - Add command line options for listing failed, missing, and run failed samples - Implement JSON output mode for programmatic consumption - Calculate and display health statistics including total samples, healthy outputs, failed sessions - Provide detailed failure information with session IDs and error messages - Generate re-run commands for samples with failed reviews - Add percentage calculations for better statistical overview - Include support for multiple output formats and detailed logging * feat(benchmark): add LongMemEval output cleanup script and enhance golden check retry logic - Added clean_sample_outputs.py script to remove generated LongMemEval files while preserving source inputs - Implemented configurable retry mechanism in golden_check.py with exponential backoff strategy - Added retry parameters (initial/max seconds and max attempts) to control failure recovery behavior - Integrated asyncio support for asynchronous sleep during retry intervals - Configured default retry settings in jinli_lme.yaml with 5s initial and 300s maximum intervals - Preserved core files (query.json, answer.json, session/) while cleaning generated artifacts * feat(benchmark): add AppleDouble file cleanup to sample output cleaner - Remove AppleDouble files starting with '._' recursively including under session/ - Add is_under helper function to check if path is inside parent directory - Track targets in set to avoid duplicate processing - Include AppleDouble files in cleanup targets when not already covered by existing targets - Maintain dry-run mode as default behavior with --apply flag for actual deletion * refactor(benchmark): update LongMemEval sample output cleaning script - Add time and Iterator imports for enhanced functionality - Add --progress-every argument to control progress reporting frequency - Replace is_under function with iter_sample_targets generator - Implement detailed progress tracking with timing measurements - Add sample-by-sample processing with elapsed time reporting - Include AppleDouble file detection within session directory - Update target counting and deletion statistics display - Add conditional progress updates based on progress-every setting - Improve dry-run mode with would-delete indication * chore(benchmark): increase initial interval for session review step - Changed START_INTERVAL_SECONDS from 1.0 to 3.0 seconds - Adjusted timing parameters for better benchmark stability * refactor(benchmark): implement coordinated retry mechanism for session reviews - Add retry gate condition to coordinate concurrent review attempts - Implement wait_for_healthy_start_slot to handle sequential retries - Create mark_retrying and mark_recovered functions to track retry states - Update reply_with_retry to accept index parameter for coordination - Add has_prior_retry logic to prevent race conditions during recovery - Ensure proper cleanup of retry state on success or failure - Maintain backward compatibility while adding coordination features * chore(benchmark): adjust session review start interval timeout - Changed START_INTERVAL_SECONDS from 3.0 to 5.0 seconds - Increased initial delay for session review benchmark step - Updated timeout configuration for improved stability * refactor(benchmark): update session review concurrency and throttling mechanism - Replace global throttle with per-process concurrency control - Add concurrency parameter with default value of 30 in config - Add start_interval_seconds parameter with default value of 2 seconds - Change default concurrency from 3 to 1 in command line interface - Update documentation to reflect new throttling behavior - Implement semaphore-based concurrency limiting for review tasks - Modify retry mechanism to use local locking instead of global files - Remove portalocker dependency for cross-process throttling * refactor(config): update session review configuration and concurrency settings - Removed deprecated retry configuration parameters from jinli_lme.yaml - Increased MAX_CONCURRENCY from 30 to 60 in session_review.py - Reduced START_INTERVAL_SECONDS from 2.0 to 1.0 in session_review.py - Cleaned up redundant backend specifications in configuration file - Simplified agent wrapper configurations by removing obsolete retry settings * feat(benchmark): enhance LME auto memory step with advanced scheduling and error handling - Add datetime parsing functionality for LongMemEval timestamps with regex pattern - Implement configurable concurrency limits with MAX_CONCURRENCY of 60 - Introduce retry mechanism with exponential backoff for agent interactions - Add session filtering based on date comparison with question_date validation - Create rate limiting with start interval control between requests - Implement sophisticated retry coordination using asyncio conditions - Add comprehensive error tracking for failed and filtered session extracts - Remove deprecated concurrency parameter from jinli_lme.yaml configuration - Add structured output validation in session review step - Include detailed metadata reporting with session statistics and errors * fix(benchmark): adjust default concurrency for auto_memory job - Changed default concurrency from 3 to 1 for auto_memory job to prevent API overload - Updated help text to reflect new default value of 1 for concurrency parameter - Modified documentation to clarify concurrency behavior varies by job type * refactor(search): replace hardcoded candidate multiplier with constant - Introduced _CANDIDATE_MULTIPLIER constant set to 10 - Replaced hardcoded factor of 5 with _CANDIDATE_MULTIPLIER in BM25 search - Replaced hardcoded factor of 5 with _CANDIDATE_MULTIPLIER in vector search - Updated test to verify both search steps use ten times limit for candidates - Imported VectorSearchStep and Bm25SearchStep in test module - Added comprehensive test case for candidate count calculation logic * feat(lme): add data inspection error handling with fallback mechanism - Implemented non-retryable data inspection error markers detection - Added _is_data_inspection_error method to identify inspection failures - Created fallback handling for data inspection errors in auto memory extraction - Added fallback handling for data inspection errors in session review - Extended failed extracts tracking with non-retryable and fallback flags - Separated fallback extracts from regular failed extracts in reporting - Enhanced error logging with specific data inspection failure messages - Updated metrics to track fallback extractions and reviews separately - Maintained existing retry logic for other exception types * feat(benchmark): enhance session review statistics with fallback tracking - Add support for identifying and listing non-retryable fallback reviews - Introduce --list-fallback argument to display fallback review details - Separate retryable failures from non-retryable fallbacks in reporting - Track fallback samples and sessions separately from failed ones - Update console output to show both retryable and non-retryable categories - Include fallback details in JSON output with reasons and session info - Modify failure counting logic to distinguish between retryable and fallback reviews * feat(benchmark): add question_id tracking and enhanced fallback reporting - Add question_id function to extract query.question_id from data - Initialize question_id_by_id dictionary to store question IDs by index - Store question_id for each sample during data processing - Enhance fallback output to include question IDs and session information - Format sample labels with question IDs when available - Display session IDs associated with each fallback case * feat(benchmark): add question_id support and improve bad sample reporting - Add question_id_for function to extract question_id from multiple sources - Add sample_label function to format samples as idx(question_id) when available - Store question_id in data dictionary during processing - Change bad_golden and bad_sessions to store full records instead of just indices - Update list_bad output to show formatted labels with question_id information - Improve error reporting with more detailed sample identification * feat(benchmark): enhance golden check stats with structured output - Add related_session_ids function to extract session IDs from verdict records - Create grouped_records function to group records by question type - Replace flat list output with JSON-formatted grouped records in list_bad option - Replace flat list output with JSON-formatted grouped records in list_bad_sessions option - Maintain Chinese labels while adding structured data presentation - Improve readability of bad verdict record display with hierarchical grouping * feat(benchmark): update data structure for question indexing - Replace sample_label with _idx field for index tracking - Add question_id field to store _question_id values - Maintain backward compatibility with empty string defaults - Preserve existing session_id functionality - Update data mapping to include new fields in grouped results * refactor(benchmark): streamline golden answer verification process - Replace relevance filtering with comprehensive information extraction - Remove is_relevant field and simplify session summary structure - Change relevant_info to extracted_info for clarity - Update golden check logic to work with full extractions instead of filtered summaries - Simplify prompt instructions to focus on complete information extraction - Remove redundant schema validation and structured output requirements - Adjust statistics calculation to match new extraction approach - Update metadata field names to reflect extraction rather than relevance checking * feat(benchmark): add selective file deletion option to clean_sample_outputs - Add --filename argument to delete only specific root-level files - Modify iter_sample_targets function to accept optional filenames filter - Implement validation for root-level filename constraints - Update function calls to pass filenames parameter - Add example usage for selective file deletion in documentation * feat(benchmark): add error count metrics to golden check statistics - Added golden_bad, session_bad, and both_bad calculation fields - Updated console output format to include error counts per question type - Modified table display to show both accuracy rates and error numbers - Enhanced statistical summary with additional error breakdown metrics * test(search): update search step tests with include_source parameter - Added include_source=False parameter to VectorSearchStep initialization - Added include_source=False parameter to Bm25SearchStep initialization - Maintained existing RuntimeContext parameters for both search steps - Updated test calls to match new constructor signature with include_source option	2026-07-13 21:26:27 +08:00
jinliyl	38cf16071b	refactor(embedding): update embedding model initialization and session storage paths (#329) ... * refactor(embedding): update embedding model initialization and session storage paths - Remove unused inspect import from as_embedding module - Pass dimensions directly to embedding model constructor instead of using parameters - Update session state file paths to use mem_session directory instead of resource - Add mem_session_dir configuration option to application config schema - Update workspace directory creation to include new mem_session directory - Change AgentScope and Claude Code session paths to use mem_session directory - Move embedding dimensions from parameters to top-level configuration - Update AgentScope dependency version from 2.0.3 to 2.0.4 - Update integration tests to reflect new session file location paths * chore(version): bump version to 0.4.0.8 - Update __version__ from 0.4.0.7 to 0.4.0.8 in __init__.py	2026-07-08 12:30:46 +09:00
jinliyl	6bf2db8ff4	Update agentscope dependency version to 2.0.3	2026-07-02 14:43:18 +08:00
Sen Huang	be7d1c0cf2	refactor(transfer): drop orphaned ingest step, make service discovery cross-platform (#300) ... * refactor(transfer): drop orphaned ingest step, make service discovery cross-platform - Remove ingest step: superseded by auto_resource (drop files under resource/ → watcher interprets them); its meta.json/<date>.md outputs had no consumers and tripped the auto_resource watcher. - Replace lsof/pgrep shell-outs in service_utils with psutil (per-process enumeration, no root needed on macOS) for Windows/macOS/Linux support. - Add cross-platform test coverage for _pid_on_port / _scan_reme_procs. - Deps: +psutil, -filelock (only used by the removed ingest lock). * chore(release): bump version to 0.4.0.5	2026-06-29 14:49:23 +08:00
jinliyl	ad7893e9c4	fix(mcp): resolve circular import issues and update dependencies (#296) ... * fix(mcp): resolve circular import issues and update dependencies - Moved fastmcp imports inside functions to prevent circular dependencies - Replaced _TRANSPORT_MAP with _VALID_TRANSPORTS set for transport validation - Updated version number from 0.4.0.3 to 0.4.0.4 - Added claude-agent-sdk dependency to core optional dependencies - Used TYPE_CHECKING imports for FastMCP related types - Restructured transport mapping logic within function scope - Fixed string annotation for CallToolResult type hints * refactor(tests): update date handling in daily steps tests - Replace _date.today() with timezone-aware now function - Use Asia/Shanghai timezone for date formatting - Change return format to use strftime instead of isoformat - Import now function from reme.steps.evolve module * refactor(tests): clean up unused imports in daily steps test - Removed unused date import from datetime module - Removed redundant pathlib Path import that was already imported later - Kept necessary imports for asyncio, os, tempfile, warnings, and frontmatter modules * test(daily_steps): update test to include application context for daily list step - Add ApplicationContext initialization with temporary workspace directory - Register file store component in application context - Pass application context to DailyListStep constructor - Maintain existing test assertion behavior for date metadata verification	2026-06-26 09:37:08 +08:00
jinliyl	01a597aba4	chore(project): update package name from reme to reme-ai (#285) ... - Changed project name in pyproject.toml from 'reme' to 'reme-ai' - Updated dependency references in full extras to use 'reme-ai[core]' and 'reme-ai[dev]'	2026-06-22 15:54:17 +08:00
jinliyl	206a53e5ed	init: reme version 0.4.0 (#284)	2026-06-22 15:41:19 +08:00
jinliyl	8eaa96390a	refactor(file_chunker): replace file parser with file chunker component (#276) ... * refactor(file_chunker): replace file parser with file chunker component - Rename file_parser module to file_chunker across codebase - Update BaseFileParser to BaseFileChunker with corresponding component type - Rename LinkedFileParser to MarkdownFileChunker for markdown-specific chunking - Rename ChunkedFileParser to DefaultFileChunker for default byte-based chunking - Update documentation references from file_parser to file_chunker - Modify dependency injection in BaseStep to use file_chunker instead of file_parser - Update configuration and component registration to use new chunker naming - Rename all related test files and update test assertions accordingly - Add recursive option to scan_store_changes_step in default configuration * feat(database): enhance Neo4j connection with environment variable support - Add support for NEO4J_PASSWORD environment variable as fallback - Make password parameter optional in constructor with validation - Update chromadb dependency from 1.3.5 to 1.5.7 - Configure CORS credentials based on origin settings - Import os module for environment variable access * feat(config): add timezone support and remove unused dialog directory - Added timezone field to application config with IANA timezone support - Removed unused dialog_dir configuration and related directory creation - Replaced date.today() with timezone-aware now() function across daily operations - Created evolve module with timezone-aware datetime functionality - Updated daily_create, daily_list, and daily_reindex steps to use timezone-aware dates * refactor(steps): update file chunker implementation - Replace ChunkedFileParser with DefaultFileChunker in background steps - Add module docstring to evolve steps package - Update return type annotation to reflect new chunker class usage * refactor(components): rename embedding and llm components to as_embedding and as_llm - Rename reme4/components/embedding to reme4/components/as_embedding - Rename reme4/components/llm to reme4/components/as_llm - Update all imports and references from embedding to as_embedding - Update all imports and references from llm to as_llm - Change BaseEmbedding to BaseAsEmbedding and update inheritance - Change BaseLLM to BaseAsLLM and update inheritance - Update component types from LLM/EMBEDDING to AS_LLM/AS_EMBEDDING - Update configuration keys from embedding/llm to as_embedding/as_llm - Update all property references from llm to as_llm in step classes - Update test assertions to use new component enum values * refactor(embedding_store): rename embedding parameter to as_embedding - Updated configuration key from 'embedding' to 'as_embedding' - Renamed class attribute from 'embedding' to 'as_embedding' - Updated method calls to use 'as_embedding' instead of 'embedding' - Changed parameter name in constructor from 'embedding' to 'as_embedding' - Updated documentation to reflect new parameter name - Modified health check to use 'as_embedding' property * feat(agent_wrapper): add unified agent wrapper component with multiple backends - Introduce BaseAgentWrapper abstract base class for agent implementations - Add AsAgentWrapper implementation using AgentScope framework - Add CcAgentWrapper implementation using Claude Code SDK - Register agent_wrapper component type in ComponentEnum - Configure default agent_wrapper settings in default.yaml - Implement tool integration for both AgentScope and Claude Code backends - Support fluent configuration via set_system_prompt() and add_tools() methods * feat(agent-wrapper): add structured output support for agent wrappers - Import SystemMsg in AsAgentWrapper for structured output handling - Add output_schema parameter support in AsAgentWrapper with generate_structured_output - Implement set_output_schema method in BaseAgentWrapper for chaining configuration - Add output schema support in CcAgentWrapper with JSON schema format option - Return structured output when available in CcAgentWrapper response - Refactor kwargs handling to use default values consistently across wrapper classes	2026-06-05 17:27:54 +08:00
jinliyl	36a5512fc8	refactor(vector_store): make obvec and zvec vector stores optional dependencies (#273) ... * refactor(vector_store): make obvec and zvec vector stores optional dependencies - Removed direct imports of ObVecVectorStore and ZvecVectorStore from init file - Added try-except blocks for conditional importing of optional vector stores - Updated error handling to check for both pyobvector and sqlalchemy in ObVecVectorStore - Renamed _OBVECTOR_IMPORT_ERROR to _OBVEC_IMPORT_ERROR for consistency - Moved pyobvector and related dependencies to optional 'obvec' extra - Added separate 'zvec' optional dependency group - Updated package configuration to exclude reme4 module patterns - Removed reme4 entry point from console scripts - Bumped version from 0.3.1.9 to 0.3.1.10 * refactor(dependencies): reorganize project dependencies and add optional seekdb support - Move sqlite-vec, prompt_toolkit, and rich to earlier in dependencies list - Remove pyseekdb from main dependencies and create separate seekdb optional dependency group - Reorder pyyaml to later in the dependencies list - Maintain all existing dependency versions while improving organization * chore(deps): remove faiss-cpu dependency from pyproject.toml - Removed faiss-cpu>=1.7.4 from the faiss dependency group - Cleaned up unused faiss dependency configuration - Updated project dependencies to exclude faiss-cpu package	2026-06-03 17:28:30 +08:00
jinliyl	c4ca617992	refactor(evolve): consolidate auto memory planner and writer into single step (#267) ... * refactor(evolve): consolidate auto memory planner and writer into single step - Removed separate AutoMemoryPlannerStep and AutoMemoryWriterStep classes - Combined functionality into new AutoMemoryStep class in auto_memory.py - Migrated prompt templates from separate YAML files to unified auto_memory.yaml - Updated module imports to reference new consolidated step - Simplified memory recording process using single ReAct agent instead of two-stage planning/writing - Maintained same input/output contract with messages, session_id, and memory_hint parameters - Preserved all original functionality for creating/updating daily notes with conversation facts * fix(daily): update empty session_id handling to create day-level file - Changed test to verify empty session_id creates day-level file daily/<date>.md - Updated assertion to check response success instead of rejection - Modified metadata verification to include path, session_id and created status - Added file existence check for the generated daily markdown file - Updated test name and print statement to reflect new behavior - Fixed test registration to use updated function name	2026-05-29 18:02:10 +08:00
jinliyl	a4efc0f776	refactor(reme4): restructure steps packages (#258) ... * fix(bm25_index): 修正BM25索引计算中的文档长度归一化问题 修复了在计算BM25相似度时对文档长度进行不正确归一化的bug，确保所有查询都能得到准确的相关性评分。 * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * up * refactor(steps): Rename and adjust indexing step logic - Rename `scan_changes.py` and `reindex.py` to `clear_and_scan.py` - Update implementation details of `ScanChangesStep` and `ClearAndScanStep` - Modify the scheduling mechanism in `WatchChangesStep` - Adjust step registration and parameter configuration in config files - Update related tests to align with the new interface changes * up * feat(daily): replace daily CRUD operations with slug provisioning approach * refactor(tests): migrate CRUD step tests from HTTP server to direct LocalFileStore * up * up * up * up --------- Co-authored-by: huangsen <huangsen.huang@alibaba-inc.com>	2026-05-28 14:30:30 +08:00
jinliyl	24cff10d46	feat(file_store): add FAISS-backed local file store implementation (#253) ... * feat(file_store): add FAISS-backed local file store implementation - Introduce FaissLocalFileStore class with vector search capabilities using FAISS IndexFlatIP - Implement FAISS index persistence with binary format and JSON id-map sidecar - Add automatic index rebuilding when sidecar files are missing or corrupted - Support tombstone mechanism for efficient deletion and compaction - Register 'faiss' component type in the registry system - Add faiss-cpu dependency requirement to pyproject.toml - Update configuration schema to use simplified parameter structure - Enhance search step to support parameter override from runtime context - Add comprehensive unit tests for FAISS store functionality - Implement fallback to parent methods for basic CRUD operations * refactor(search): simplify parameter retrieval logic - Removed _param method that checked context and kwargs - Directly use self.kwargs.get for all parameter retrievals - Maintained same default values for vector_weight, candidate_multiplier, expand_links, and max_links_per_direction - Reduced code complexity by eliminating redundant context checking logic	2026-05-22 16:14:38 +08:00
诸岳	0dff85b9b5	feat(store): seekdb file and vector stores via pyseekdb (embedded + remote) (#207) ... * feat(seekdb): add Seekdb file and vector stores with pyseekdb>=1.2.0 * refactor(seekdb): add pyseekdb_conn and remote-only host/port config * refactor(embedding): remove env fallbacks from BaseEmbeddingModel; pass credentials in tests * refactor(seekdb): drop tenant from client kwargs; default database test and empty password * fix(deps): gate pyseekdb to Python >=3.11 for CI 3.10 compatibility * fix(seekdb): satisfy pre-commit pylint and formatting for seekdb stores	2026-05-22 10:55:48 +08:00
jinliyl	b001c06086	Dev/connect as tool (#243) ... * refactor(steps): Add job management methods and support registering them as tools Added methods to the `BaseStep` class for retrieving, running, and registering jobs as tools, enhancing the functionality of the step class. * fix doc * chore(pyproject.toml): Update dependency versions and adjust package configuration Bump agentscope version to 1.0.19 and reorganize the core dependency configuration structure.	2026-05-18 15:53:27 +08:00
Sen Huang	357415dd49	feat: add Neo4j file graph support and markdown parser with wikilink extraction (#240) ... * feat: add Neo4j file graph support and markdown parser with wikilink extraction - Add Neo4jFileGraph implementation for property-graph storage with virtual/real node handling and link management - Introduce LinkedFileParser for markdown files with frontmatter, wikilink graph extraction, and full-skeleton chunking - Update pyproject.toml to include pyyaml, mistletoe, and neo4j dependencies - Modify .gitignore to exclude /vault and structure.md - Change reme CLI entry point from reme_ai.main to remecli.reme - Register new neo4j and md components in respective registries * refactor(file-graph): add chunk_ids support to Neo4jFileGraph Add chunk_ids field to File node properties in Neo4jFileGraph to enable better content chunk tracking and management. BREAKING CHANGE: File node schema now includes chunk_ids property which may affect existing integrations. feat(parser): implement wikilink resolution logic Move path resolution logic from utils/path_resolver to linked_file_parser module and enhance wikilink resolution with folder-note rule support and improved error handling. fix(tests): update test assertions and variable names Update test cases to reflect changes in data structures and variable naming conventions across various components. chore(config): update package entry point reference Change reme CLI entry point from remecli.reme:main to reme_ai.reme:main in pyproject.toml. refactor(utils): remove deprecated path_resolver module Remove the old path_resolver utility module as its functionality has been moved to linked_file_parser. docs(file-graph): update Neo4jFileGraph documentation Update class docstrings and comments to reflect new chunk_ids property and other structural changes. style(formatting): adjust code formatting and line breaks Minor formatting improvements including line length optimization and consistent spacing adjustments throughout the codebase. * fix(pyproject.toml): correct entry point for reme command Change the entry point from "reme_ai.reme:main" to "reme_ai.main:main" to fix the module reference for the reme command in project scripts.	2026-05-18 14:25:14 +08:00
jinliyl	e411eeb4c0	dev/reme4 init merge (#236)	2026-05-17 14:14:43 +08:00
Chojan Shang	f3d09aaa38	feat(vector_store): add OceanBase/seekdb vector store implementation (#201) ... * feat(vector_store): add OceanBase as a VectorStore * refactor(obvec): make it cleaner * docs: add obvec related info * refactor: minor update * refactor: clean code and pass lint * docs: remove unrelated edit * docs: minor update	2026-04-09 16:17:52 +08:00
jinliyl	9ad8120959	feat(compactor): add extra instruction support and improve error handing (#190) ... * feat(compactor): add extra instruction support and improve error handling - Add extra_instruction parameter to compactor for custom guidance during message compaction - Implement try-catch blocks around AS LLM initialization with detailed error logging - Add extra_instruction parameter to ReMe.compact method with comprehensive documentation - Update agentscope dependency from 1.0.17 to 1.0.18 in light installation - Bump version number from 0.3.1.6 to 0.3.1.7 - Pass extra_instruction parameter through compactor instantiation and execution flow * fix(core): add error handling for AS LLM formatters and token counters initialization - Wrapped AS LLM formatters initialization in try-except blocks - Added specific error logging for failed AS LLM formatter initialization - Wrapped AS token counters initialization in try-except blocks - Added specific error logging for failed AS token counter initialization - Applied same error handling pattern to both initial setup and restart operations - Maintained existing warning logs for unsupported backends	2026-03-31 16:22:39 +08:00
jinliyl	dc8eab56a1	refactor(core): replace text truncation utilities with new marker system (#179) ... * refactor(core): replace text truncation utilities with new marker system - Remove old truncate_text_utils module and its exports - Replace TRUNCATION_MARKER_START with _TRUNCATION_NOTICE_MARKER constant - Update as_msg_stat.py to split content using new marker format - Modify FileIO tool to use TRUNCATION_NOTICE_MARKER for continuation hints - Change is_truncated function checks to use marker presence detection - Move transformers dependency from main deps to light extra dependencies - Update tool result compactor tests to verify marker instead of is_truncated calls * feat(file_io): enhance file operations with path resolution and append functionality - Add expanduser() to resolve file paths with ~ symbol - Implement proper file existence and type validation in update_file - Add new append_file method to append content to files - Update truncation notice format for better readability - Fix typo in error message from "provide" to "provided" - Update transformers dependency in pyproject.toml - Remove duplicate transformers dependency from light extras * refactor(file_io): disable pylint too-many-return-statements warning * perf(file_watcher): increase default polling delay and optimize watcher configuration - Increased default poll_delay_ms from 1000ms to 2000ms to reduce CPU usage - Removed force_polling parameter as it's no longer needed with updated polling strategy - Simplified async watch configuration by removing conditional force_polling logic - Reduced overall system resource consumption during file watching operations * refactor(memory): update conversation log documentation in memory summary - Changed "Raw conversation logs" to "Earlier conversation logs" for clarity - Added warning note about potentially large dialog file sizes - Improved formatting with additional line break for better readability - Maintained existing compressed summary integration unchanged * feat(memory): add long-term memory support to file-based memory system - Initialize _long_term_memory attribute as empty string - Add memories section to content when long-term memory exists - Consolidate summary and memories into single user message - Format memories with markdown header # Memories - Maintain existing compressed summary functionality - Join multiple content parts with double newlines	2026-03-26 12:10:24 +08:00
jinli.yl	7f6bf11aab	refactor(pyproject.toml): move flowllm dependency from core to litellm extra	2026-03-24 22:18:12 +08:00
jinliyl	cc11b77b27	chore(deps): update version and move litellm to dev dependencies (#176) ... * chore(deps): update version and move litellm to dev dependencies - Updated package version from 0.3.1.2 to 0.3.1.3 - Removed litellm from main dependencies in pyproject.toml - Added litellm as fixed version dependency in dev group - Maintained litellm requirement while reorganizing dependency structure * chore(deps): move litellm dependency to full extras - Moved litellm==1.80.0 from main dependencies to full extra - Kept litellm as optional dependency for users needing full feature set - Maintains backward compatibility for light installation option * feat(pyproject): add litellm dependency to project configuration - Added litellm==1.80.0 as optional dependency in pyproject.toml - Created new litellm extra group for LiteLLM integration - Updated full dependency group to include the new litellm option	2026-03-24 22:15:02 +08:00
jinliyl	9a6cf2b994	Dev/token (#159) ... * update * refactor(memory): remove unnecessary type check and update error logging * refactor(core): standardize logger import and update agentscope dependency * fix(memory): disable console output and add logging for summarizer component * feat(core): replace OpenAI token counter with custom ReMe token counter - Replace OpenAITokenCounter with ReMeTokenCounter implementation - Add support for HuggingFace mirror and configurable tokenizer - Register ReMeTokenCounter as default token counter in registry - Update config to use hf backend with Qwen2.5-7B-Instruct model refactor(memory): convert token counting methods to async in message handlers - Change count_str_token, stat_message, count_msgs_token to async methods - Update format_msgs_to_str and context_check to use async token counting - Modify _format_tool_result_output to support async token counting - Adjust all dependent methods to await async token counting calls feat(memory): add dialog persistence to in-memory storage - Implement _append_messages_to_dialog for saving messages to JSONL files - Add dialog_path parameter to ReMeInMemoryMemory constructor - Persist messages to daily JSONL files based on timestamp grouping - Update mark_messages_compressed to save and remove compressed messages - Modify clear_content to persist all messages before clearing memory refactor(ops): update token counter type hints and initialization - Change BaseOp to use HuggingFaceTokenCounter instead of TokenCounterBase - Update type annotations for as_token_counter property and parameters - Remove direct token counter injection from Compactor and ContextChecker - Pass as_token_counter parameter through service context mechanism style(logging): improve error logging with exception details - Replace logger.error with logger.exception in browser control tool - Change logger.error to logger.exception in memory get tool error handling - Add proper exception logging with stack trace information chore(config): add token counter configuration to light YAML - Add as_token_counters section with default hf backend configuration - Configure Qwen/Qwen2.5-7B-Instruct model with mirror support enabled - Set up pretrained_model_name_or_path and use_mirror parameters test(context): update context check tests to async implementation - Convert verify_context_check_invariants to async function - Update context check test methods to use async calls - Change stat_message calls to await async implementation - Modify test_empty_messages and test_below_threshold_returns_all to async * feat(core): implement context checking and memory management features * refactor(core): replace direct loguru import with logger utility function * refactor(reme): remove RuntimeContext dependency and simplify context checking * feat(docs): add raw conversation persistence to ReMe framework	2026-03-17 11:07:31 +08:00
jinliyl	9e2e98ef40	Dev/readme (#137) ... * refactor(memory): rename copaw to reme and update module structure * chore(release): bump version to 0.3.0.6b1 * refactor(docs): update README and ReMeLight implementation * refactor(reme): rename ReMeCopaw to ReMeLight and remove CLI module * docs(readme): update Chinese documentation with enhanced structure and content * docs(readme): update Chinese documentation for context compression * docs(readme): update context compression section header * docs(readme): update documentation with installation and usage guide * docs(readme): update Chinese documentation table * chore(deps): update dependency extras configuration * chore(test): remove deprecated test files for message operations * docs(readme): update documentation with ReMeLight implementation changes	2026-03-04 18:43:21 +08:00
jinli.yl	58ca1f4fac	fix(core): update version and enhance compactor execution with service context	2026-03-04 13:51:55 +08:00
jinli.yl	115373ab30	refactor(benchmark): remove unused llm config and update test parameters	2026-02-26 18:20:12 +08:00
jinli.yl	eae6c63d15	feat(cli): add ReMeCli class with interactive chat functionality	2026-02-11 17:23:15 +08:00
jinli.yl	82337ead33	feat(file-watcher): add file watching functionality with error handling	2026-02-08 21:37:55 +08:00
jinli.yl	f0bc2da7b0	feat(chat): add FsCli chat agent with streaming capabilities	2026-02-08 03:05:11 +08:00
jinli.yl	c5438c52fc	feat(memory): implement file watcher with delta and full sync strategies	2026-02-06 01:58:28 +08:00
jinli.yl	6e72bcac2e	refactor(memory): update memory registration and configuration handling	2026-01-29 14:18:53 +08:00
jinli.yl	78b993f830	refactor(core): restructure project modules and update base classes	2026-01-22 22:07:32 +08:00
jinli.yl	09d12c7d72	chore(deps): update flowllm dependency versions	2026-01-07 23:43:08 +08:00
jinli.yl	b3910319ce	chore(deps): update flowllm dependencies to version 0.2.0.9	2026-01-06 15:11:59 +08:00