Yifan Yang 7d9900b6af feat(sleep): optimizer/target model split, transfer experiment, LLM miner ...

Three additions driven by the goal of price-aware, model-flexible sleep:

1. DualBackend + build_backend(): route attempt->TARGET model and
   reflect/judge->OPTIMIZER model (SkillOpt's target-vs-optimizer split).
   gbrain runner gains --optimizer-backend/-model + --target-backend/-model.

2. run_transfer.py: sleep-scenario cross-model transfer. Optimize a skill on a
   SOURCE model (e.g. cheap haiku), freeze it, evaluate held-out on a TARGET
   model (e.g. expensive sonnet) with no further optimization — plus a direct
   reference. Mirrors the SkillOpt paper's transfer table; quantifies the
   "optimize cheap overnight, deploy anywhere" value prop.

3. llm_miner.py: turn real harvested transcripts into TaskRecords WITH checkable
   rule/rubric judges, wired into the cycle for non-mock backends, so real-data
   lift becomes measurable (heuristic miner remains the no-API fallback).
   Fixed a str.format brace bug the new unit test caught.

19 tests pass.

Co-Authored-By: Claude Opus 4 <noreply@anthropic.com>

2026-06-08 14:31:51 +00:00

..

__init__.py

test: add unit test suite for core utility modules

2026-06-01 02:04:22 +08:00

test_json_utils.py

test: add unit test suite for core utility modules

2026-06-01 02:04:22 +08:00

test_qwen_backend.py

fix(model): forward Qwen timeout and only set enable_thinking when true

2026-06-07 07:41:35 -07:00

test_scoring.py

test: add unit test suite for core utility modules

2026-06-01 02:04:22 +08:00

test_sleep_engine.py

feat(sleep): optimizer/target model split, transfer experiment, LLM miner

2026-06-08 14:31:51 +00:00

test_types.py

test: add unit test suite for core utility modules

2026-06-01 02:04:22 +08:00