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* feat: init pydantic ai agent & context 7 mcp * feat: integrate MCP documentation search into data science pipeline evaluation * fix: disable MCP documentation search and update related docstrings and defaults * lint * fix: correct prompt formatting and conditional blocks in pipeline_eval section * lint * feat: add query method to PAIAgent for synchronous agent execution * fix: apply nest_asyncio for agent and update context7 query method * lint * lint * lint * lint * docs: update MCP folder docstring and rename test class in test_pydantic.py * refactor: centralize completion kwargs logic and update pydantic_ai integration * fixbug * typo * fix: bug triggered by padantic-ai version backtracking. --------- Co-authored-by: Linlang <Lv.Linlang@hotmail.com>
* fix: add json format response fallback to prompt templates * more json prompt
* chore: add medal info * return sota_exp_stat * update hit check * update experiment * udpate experiment * extract log * remove old log folder * update candidates * keep highest score * early stop if no medal candidate
* feat: add interactor classes and user interaction handling for experiments * update code * use fragment retry mechanism instead of rerun() * fix a bug * integrate user instructions into proposal and coder * fix CI * fix CI * feat: add approval option for user instructions submission * feat: enhance user instructions handling in Task and DSExperiment classes * fix CI * add user instructions into hypothesis rewrite * add interface to command line --------- Co-authored-by: Bowen Xian <xianbowen@outlook.com>
* feat: update README with latest news and announcements * update readme
* fix: add hypotheses_candidates
* Fix model/factor experiment filtering in Qlib proposals * fix(dockerfile): install coreutils to resolve timeout command error (#1260) * chore: remove unused experiment_list and target_list from Qlib proposals * fix CI * fix target list --------- Co-authored-by: Xu Yang <peteryang@vip.qq.com>
* init mcts class * full ver of MCTS * auto-lint * make MCTS feedback in exp-gen() * refactor: move reset logic from Trace to ExpGen and update usage accordingly * fix: reinitialize trace on consecutive errors in DataScienceRDLoop * feat: add reset method to BaseScheduler and call in MCTSScheduler reset * style: reorder imports for consistency and PEP8 compliance * lint * fix observe_feedback * fix bug * remove uncommited_rec_status * more simple * refactor: move commit observation logic to process_uncommitted_nodes method * docs: add TODO comment about rule-based virtual root node expansion * add score reward * fix bug * fix small bug * lint * change reward * lint --------- Co-authored-by: Young <afe.young@gmail.com> Co-authored-by: jingyuanlm <842442862@qq.com> Co-authored-by: amstrongzyf <amstrongzyf@126.com>
* feat: enable cache in mcp * refactor: remove redundant setting * fix: conflicts during installation --------- Co-authored-by: Linlang <Lv.Linlang@hotmail.com>
* init mcts class * full ver of MCTS * auto-lint * make MCTS feedback in exp-gen() * refactor: move reset logic from Trace to ExpGen and update usage accordingly * fix: reinitialize trace on consecutive errors in DataScienceRDLoop * feat: add reset method to BaseScheduler and call in MCTSScheduler reset * style: reorder imports for consistency and PEP8 compliance * lint * fix observe_feedback * fix bug * remove uncommited_rec_status * more simple * refactor: move commit observation logic to process_uncommitted_nodes method * docs: add TODO comment about rule-based virtual root node expansion * add score reward * fix bug * fix small bug * lint * change reward * small small change * autolint --------- Co-authored-by: xuangu-fang <xuangufang@gmail.com> Co-authored-by: Young <afe.young@gmail.com>
* add simple rag mcp * add rag_agent in expGen v2 * add conf config for research rag * fix CI * refactor: move context7 and rag config files to new conf modules * make rag agent general * fix CI --------- Co-authored-by: Young <afe.young@gmail.com>
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📚 Documentation preview 📚: https://RDAgent--1272.org.readthedocs.build/en/1272/