ReMe/reme/steps/benchmark/beam
sa-buc ef6b0d74e1 feat(read): add session-aware formatting for read tool and update BEAM eval
- Add truncate_session_output in _file_io.py to render jsonl session
  lines as [speaker @ time] content before byte-budget truncation
- Add read_step_format_session flag to ReadStep, honoring injected
  job kwargs (precedence) and YAML fallback
- Inject read_step_format_session=True into BaseAgenticAnswerStep
  so agentic answer reads render session transcripts human-readably
- Refine BEAM agentic_answer prompt: continue multi-angle search
  after preliminary answer, forbid fabrication/extrapolation
- Update BEAM config to 1M variant and add sequential 100K-eval /
  1M-build shell script
- Refresh benchmark/results_md/beam.md with latest results
2026-08-05 13:24:22 +08:00
..
__init__.py feat(benchmark): add BEAM & restructure LongMemEval evaluation framework (#375) 2026-07-21 19:09:50 +08:00
agentic_answer.py feat(benchmark): add BEAM & restructure LongMemEval evaluation framework (#375) 2026-07-21 19:09:50 +08:00
agentic_answer.yaml feat(read): add session-aware formatting for read tool and update BEAM eval 2026-08-05 13:24:22 +08:00
auto_memory.py refactor(beam): rename max_chunk_words to max_segment_words, drop one-off pilot scripts 2026-08-04 15:28:46 +08:00
auto_memory.yaml feat(beam): enhance auto_memory with source markers and pilot ingest tooling 2026-08-04 15:28:23 +08:00
llm_judge.py chore(benchmark): isolate dataset/workspaces/results per benchmark 2026-07-31 17:57:53 +08:00
llm_judge.yaml feat(benchmark): add BEAM & restructure LongMemEval evaluation framework (#375) 2026-07-21 19:09:50 +08:00