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refactor: rename teacher/student to optimizer/target, remove best skills, fix slow update

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- Rename teacher -> optimizer, student -> target across all code, configs, docs, prompts
- CLI: --teacher_model -> --optimizer_model, --student_model -> --target_model
- Remove best_skill files, keep only initial skills
- Fix slow update gate (force write into skill)
- Fix SLOW_UPDATE marker stripping
- Remove deep_reflect and meta_reflect mechanisms
- Update .env.example with export prefix and azure_cli docs
- Add endpoint empty validation in azure_openai.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Cuzyoung
2026-05-24 19:15:03 +00:00
parent 6e165d5347
commit 4a1b984d87
70 changed files with 1083 additions and 2068 deletions
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docs/reference/config.md
+3 -3
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@@ -7,8 +7,8 @@ Complete reference for all SkillOpt configuration parameters.
| Parameter | Type | Default | Description |
|---|---|---|---|
| `model.backend` | str | `azure_openai` | Backend: `azure_openai` / `openai_chat` / `claude_code_exec` / `qwen` |
| `model.teacher` | str | `gpt-5.5` | Teacher model (for reflection & slow update) |
| `model.student` | str | `gpt-5.5` | Student model (for rollout execution) |
| `model.optimizer` | str | `gpt-5.5` | Optimizer model (for reflection & slow update) |
| `model.target` | str | `gpt-5.5` | Target model (for rollout execution) |
| `model.reasoning_effort` | str | `medium` | Reasoning effort level |
## Training (`train`)
@@ -40,7 +40,7 @@ Complete reference for all SkillOpt configuration parameters.
| `optimizer.skill_update_mode` | str | `patch` | — | `patch` / `rewrite_from_suggestions` / `full_rewrite_minibatch` |
| `optimizer.use_slow_update` | bool | `true` | Momentum | Epoch-boundary longitudinal comparison & guidance |
| `optimizer.slow_update_samples` | int | 20 | — | Samples for slow update evaluation |
| `optimizer.use_meta_skill` | bool | `true` | Meta-learning | Cross-epoch teacher-side strategy memory |
| `optimizer.use_meta_skill` | bool | `true` | Meta-learning | Cross-epoch optimizer-side strategy memory |
| `optimizer.longitudinal_pair_policy` | str | `mixed` | — | `mixed` / `changed` / `unchanged` |
## Evaluation (`evaluation`)