0.7.0 (2025-07-08)

Features

• add code change summary (#1000) (937ec26)
• add hide_base_name option and update data folder prompts (#1004) (2f61fa8)
• added running time statistics for the DS scenario experiment (#1007) (030abd8)
• merge code summary and support more traces (#1025) (48201e7)
• show first evo round codes diff (#1009) (4844622)
• try coder on whole data (#1017) (4973e05)

Bug Fixes

• fix a minor bug in DS eval (#1012) (5a520e9)
• fix some bugs in quant scen (#1026) (7b34d41)
• support experimental support for Deepseek models and update docs about configuration (#1024) (35cfc19)

0.6.1 (2025-06-28)

Bug Fixes

• fix mount (#1001) (4ae2f13)
• handle the bug of wrong dag_parant index (#996) (bda12ff)
• improve log folder sorting and selection UX (#993) (b116807)

0.6.0 (2025-06-26)

Features

• async mechanism for multi-trace (#981) (9e60c32)

Bug Fixes

• add async to direct_exp_gen avoid infinite loop (#992) (78c203d)
• docker container cleanup to prevent accumulation and system slowdown (#975) (05cf094)
• fix a bug and update the docs (#978) (d1ae9e1)
• merge datascience v3 and v2 (#974) (1ba7548)
• refine details (#979) (25caa3d)
• refine prompt (#987) (76df96e)

0.5.0 (2025-06-18)

Features

• add a check for whether values in score_df are NaN (#756) (d9cc780)
• add competition level filter and extract constants to utils (#869) (b40b605)
• add DocDev for auto-generating workspace documentation (#781) (bcba6ea)
• add drafting pipeline (#832) (efedddf)
• add last_exp_fb to DSTrace and update feedback retrieval usage (#910) (10531fd)
• add mlflow logger in RD loop to log (#815) (b91b54f)
• add naive experiment generator and update proposal configurations (#759) (75494f4)
• add RD-Agent-Quant scenario (#838) (6e42d52)
• add reasoning_effort parameter to LiteLLMAPIBackend and LLMSett… (#754) (113889f)
• add reviewer in feedback (#765) (1a95bee)
• advanced checkpoint selectors (#790) (50ea033)
• archive python and csv files in workspace to maintain results (#814) (67d0e01)
• checkpoint selection (#744) (a15a06a)
• custom data (#810) (6322916)
• dump model (#776) (b49481e)
• enable to set different version of idea-proposal for multi traces (#895) (236c28f)
• enhance compatibility with more LLM models (#905) (8800624)
• idea pool integrated to exp_gen & add timer to RD-Agent & pause-resume to RD-loops (#795) (e62aefa)
• joblib cache (#749) (83a0411)
• log api status to mlflow (#860) (049921b)
• log reaching max time limit before breaking CoSTEER evolution (#921) (837fff2)
• merge failed and successful traces together (#766) (3a2aa8c)
• merge selectively (#888) (06ba314)
• multi-trace online merge (#886) (2112d67)
• new proposal (structured outputs) prompts (#887) (150796a)
• parallel loop running based on asyncio (#932) (c63e207)
• propose hypothesis across multiple parts in pipeline (#827) (acb0e21)
• pull image with progress (#777) (5cad086)
• raise error when timeout in api call (#793) (eafd4df)
• raise policy violation (#894) (5b9d007)
• reanalyze competition info & pipeline coding evaluator prompt (#837) (f7b5258)
• refine merge (#842) (99463b4)
• refine prompt (#760) (a91b182)
• replace hard-coded cache paths with dynamic cache_path config (#952) (db56894)
• revert draft stage into a soft decay in hypothesis selection (#849) (d41db0c)
• trace merging (#836) (a3d5473)
• truncate by time (#863) (2b9427a)
• update prompt to improve json respond format of some LLM models (#928) (0b84709)
• using different chat model in different part (#822) (c052ea6)

Bug Fixes

• 'DSProposalV2ExpGen' object has no attribute 'COMPONENT_TASK_MAP… (#950) (e353895)
• adapting UI to mock trace (#841) (8a5754c)
• add missing semicolon after chmod in env shell command (#955) (1128eaa)
• add time to timer when api timeout bug (#826) (f45d6ae)
• add wait_retry to exp_gen v2 (#783) (b9fb7cf)
• adjust ds_trace lookup and add stderr redirect to mlebench command (#853) (4e53108)
• align competion_full_desc and scenario_all_desc, remove redundant info in problems proposal (#808) (76d8536)
• bug fix in timer start (#807) (9af7161)
• bug in problem identification (#806) (e1d5a29)
• conda error information (#941) (fd39a94)
• default cost to NaN when ca...

0.4.0 (2025-04-04)

Features

• (Kaggle) add base template for competition: tabular-playground-series-may-2022 (#481) (f3405ca)
• a unified CoSTEER to fit more scenarios (#491) (cddbd02)
• add a new competition (#474) (2fc0d77)
• add a tool to enable saving workspace files into a specific folder (#728) (bca864b)
• add baseline score stat (#590) (2948026)
• add configurable volume mode for Docker volumes in env.py (#537) (642a022)
• add constraint labels for semantic search (#680) (0584cfc)
• add cross validation to workflow (#700) (82e9b00)
• add describe_data_folder_v2 (#738) (bc8e846)
• add do_truncate control for the load function (#656) (2b960a5)
• add do_truncate control for the load function (#656) (2b960a5)
• add eda to data science scenario (#639) (35aa479)
• add hypothesis guidelines and rule-based ranking (#746) (c077b82)
• Add line length limit to shrink_text function and settings (#715) (75ed5e1)
• add loop_n parameter to the main loop (#611) (778c166)
• add max time config to costeer in data science (#645) (534686c)
• add mlebench submission validitor (#545) (712d94a)
• add model removal and adjust some framework logic (#681) (1edf881)
• add output_path to load function of LoopBase (#628) (dd33726)
• add pipeline coder (#742) (759f295)
• add rank into report (mle_summary) (#665) (13f7922)
• add restart and fix unzip (#538) (ed2c7d1)
• add retry mechanism with wait_retry decorator and refactor diff generation (#572) (de1cd72)
• add the shape of the CSV to the dataset description (#561) (a10c881)
• add timeout settings and cleanup step in data science runner (#539) (295abd5)
• add type checker to api backend & align litellm and old backend (#647) (d38eae9)
• align mlebench data and evaluation & several fix on kaggle workflow (#477) (f6c522b)
• backend: integrate LiteLLM API Backend (#564) (f477687)
• base data science scenario UI (#525) (39917b3)
• condaenv & full docker env (#668) (084dd6d)
• diff mode fix (#569) (0c509f5)
• display LLM prompt (#676) (8c93bba)
• Dynamically find and use sample submission file in eval tests (#542) (5f12b44)
• end-to-end optimization (#473) (d41343a)
• Enhance eval script with file cleanup and detailed submission checks (#529) (cf2ff92)
• exclude invalid session log folder (#554) (fa86e4d)
• improve the framework's ability to adaptively adjust the model (#629) (93806f3)
• independent use_azure_token_provider on chat and embedding (#452) (d223004)
• integrate azure deepseek r1 (#591) (e79ce5c)
• kaggle refactor (#489) (1b057d0)
• kaggle: several update in kaggle scenarios (#476) (245d211)
• loader prompt & simplify YAML loading and update data loader specifications (#736) (86f8bbf)
• make spec optional (#719) (a16b70f)
• Make system prompt role customizable in LLM settings (#632) (e4acd92)
• multi log folder, replace "epxx" in workspace path (#555) (8a69c9c)
• new exp gen v2 implementation (#725) (5dcc2d5)
• new-york-city-taxi-fare-prediction_template (#488) (a9caab7)
• out spec change for o1-preview (#666) (22894bd)
• refactor for general data science (#498) ([7002dc4](https://github.com/microsof...

0.3.0 (2024-10-21)

Features

• add a new template for kaggle (#289) (eee3ab5)
• add download submission.csv button for kaggle scenario (#317) (dcdcbe4)
• add kaggle command (#271) (0938394)
• add kaggle tpl: feedback-prize (#331) (a288e39)
• add more templates for kaggle (#291) (da752ec)
• add normal rag into framework (#360) (91b0b1f)
• add qlib_factor_strategy (#307) (f8f59ff)
• Add ranking in kaggle scenario (#401) (b16b4be)
• Add runtime measurement for each step and loop in RDLoop. (#281) (83058c8)
• add s3e11 kaggle template (#324) (8c57524)
• Added RepoAnalyzer to empower auto-summary of a workspace (#264) (0bd349a)
• Added support for loading and storing RAG in Kaggle scenarios. (#269) (c4895de)
• announce Discord and WeChat (#367) (acac507)
• auto submit result after one kaggle RDLoop (#345) (ab55d70)
• better feedback & evaluation (#346) (cc9a8c1)
• Dynamic scenario based on task (#392) (665a037)
• Factor Implement Search Enhancement (#294) (4ecf25f)
• Feature selection v3 to support all actions (#280) (0047641)
• fix some bugs and add original features' description (#259) (1a5f45a)
• get kaggle notebooks & disscussion text for RAG (#371) (cead345)
• Iceberge competition (#372) (c10ea4f)
• implement isolated model feature selection loop (#370) (cf1292d)
• Initial version if Graph RAG in KAGGLE scenario (#301) (fd3c0fd)
• Integrate RAG into the Kaggle scenarios. (#262) (be0e48a)
• Kaggle loop update (Feature & Model) (#241) (4cf22a6)
• kaggle templates related (#287) (785fdc1)
• Model context for tuning and selection (#284) (f2831e7)
• Modify FactorRowCountEvaluator and FactorIndexEvaluator to return the ratio (#328) (8f43f8e)
• New competition - Optiver (#356) (3705efe)
• random forest for s3e11 (#347) (b57846d)
• refine the code in model description and fix some bugs in feedback.py (#288) (5b124d7)
• refine the template in several Kaggle competitions (#343) (034f238)
• Revise to support better hypothesis proposal (#390) (c55ec0a)
• show workspace in demo (#348) (ddf567c)
• support Multi output (#330) (3d36c45)
• Supporting COVID-19 competition (#374) (a1b63db)
• supporting Mnist competition (#375) (e958a34)
• Supporting Model Specifications (#319) (e126471)
• supporting various Kaggle competitions & scenarios for RD-Agent (#409) (75eea22)
• template for kaggle (#308) (ff97cf0)
• use auto gen seed when using LLM cache (#441) (ca15365)
• use unified pickle cacher & move llm config into a isolated config (#424) (2879ecf)
• xgboost gpu accelerate (#359) (56a5b8f)

Bug Fixes

• a bug of developer& edit s4e8 template (#338) (f12ce72)
• actively raised errors aer also considered as negative feedback. (#268) (46ec908)
• bug of saving preprocess cache files (#310) (5fb0608)
• cache (#383) (f2a6e75)
• change css tag of kaggle competition info crawler (#306) (1e3d38b)
• debug dsagent (#387) (8fe9511)
• eval_method cannot catch run factor error (#260) ([2aaab31](https://github.com/microsoft/RD-Agent/com...

0.2.1 (2024-09-10)

Bug Fixes

• default model value in config (#256) (c097585)
• fix_dotenv_error (#257) (923063c)
• readme (#248) (8cede22)

0.2.0 (2024-09-07)

Features

• add collect info (#233) (89f4af9)
• add cross validation for kaggle scenario (#236) (e0b03ba)
• add progress status for docker env (#215) (538d4ef)
• Added loop code for Kaggle scene. (#211) (975c327)
• Demo display effect and usage (#162) (8cf122a)
• piloting of the framework (#227) (e9b103e)
• support more models for kaggle scenario (#223) (e3a9659)
• update model_experiment.py to support basic EDA (#220) (bf2684c)

Bug Fixes

• fix some bugs in llm calling (#217) (7b010f8)
• package dependency. (#234) (46be295)
• remove useless line (#177) (64e9a8e)

0.1.0 (2024-08-09)

Features

• add entry for rdagent. (#187) (121b6d9)
• change ui entry (#197) (fa5d335)
• remove pdfs and enable online pdf readings (#183) (18c0501)

Bug Fixes

• Fix a fail href in readme (#189) (1b89218)
• fix quick start problem (#191) (44f61bf)
• update command line in readme.md (#192) (9c45d24)

0.0.1 (2024-08-08)

Features

• Add description for scenario experiments. (#174) (fbd8c6d)
• Added QlibFactorFromReportScenario and improved the report-factor loop. (#161) (882c79b)
• filter feature which is high correlation to former implemented features (#145) (e818326)
• Remove redundant 'key steps' section in frontend scene display. (#169) (e767005)
• streamlit webapp demo for different scenarios (#135) (d8da7db)
• Uploaded Documentation, Updated Prompts & Some Code for model demo (#144) (529f935)

Bug Fixes

• Add framework handling for task coding failure. (#176) (5e14fa5)
• Comprehensive update to factor extraction. (#143) (b5ea040)
• first round app folder cleaning (#166) (6a5a750)
• fix pickle problem (#140) (7ee4258)
• fix release CI (#165) (85d6a5e)
• fix release CI error (#160) (1c9f8ef)
• fix several bugs in data mining scenario (#147) (b233380)
• fix some small bugs in report-factor loop (#152) (a79f9f9)
• fix_release_ci_error (#150) (4f82e99)
• Fixed some bugs introduced during refactoring. (#167) (f8f1445)
• optimize some prompts in factor loop. (#158) (c2c1330)

Miscellaneous Chores

• release 0.0.1 (1feacd3)