Adriano/Multi_Swarm_Coevolutive
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
112 Commits 2 Branches 1 Tag
2b5da4d1fc353447bb5eecefe87041e40e1d79c7
Commit Graph

3 Commits

Author SHA1 Message Date
Adriano Dal Pastro b6539802e0 refactor(layout): rename multi_swarm → multi_swarm_core con doppia nidificazione uv workspace 
- mv src/multi_swarm → src/multi_swarm_core/multi_swarm_core (member layout)
- sed-replace globale degli import: from/import multi_swarm.* → multi_swarm_core.*
- 115 occorrenze aggiornate in src/ scripts/ tests/
- multi_swarm_coevolutive (nome repo) preservato dal word boundary

Pre-condizione per il setup uv workspace della Fase 3.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-15 17:43:48 +00:00
Adriano ba4eb09a71 feat(phase-2.5): Task 6 cost_kind attribution + fees_eat_alpha threshold CLI 
Task 6 del piano Phase 2.5 (deferito → ora completato):
- CostRecord: nuovo campo call_kind (default "hypothesis")
- CostTracker.record: accetta call_kind opzionale, summary include
  by_call_kind breakdown (hypothesis vs mutation)
- Schema cost_records: aggiunta colonna call_kind TEXT NOT NULL DEFAULT
  'hypothesis' + migration soft via ALTER TABLE in init_schema (silently
  catched per DB pre-Task 6)
- Repository.save_cost_record: nuova arg call_kind opzionale
- mutate_prompt_llm: accetta cost_tracker/repo/run_id opzionali e logga
  la call mutator con call_kind="mutation" quando sink presente
- weighted_random_mutate, next_generation: propagano cost sink
- orchestrator.run_phase1: passa cost_tracker+repo+run_id a
  next_generation solo se prompt_mutation_weight > 0

Esposto fees_eat_alpha_threshold come parametro AdversarialAgent
(default 0.5 = comportamento Phase 1.5 invariato), propagato via
RunConfig.fees_eat_alpha_threshold e flag CLI
--fees-eat-alpha-threshold. Abilita ablation con soglia 0.7-0.8 senza
modificare codice — adversarial finding dominante in tutti i run
Phase 2/2.5 (50+ HIGH per run).

Tests (+4 → 186 totale):
- test_cost_tracker: default call_kind="hypothesis"; breakdown
  by_call_kind con hypothesis+mutation
- test_mutation_prompt_llm: logging mutation cost con sink completo;
  backward compat senza sink (no errore)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-12 10:42:13 +02:00
Adriano c38311e5fa feat(phase-2.5): mutate_prompt_llm operator + weighted dispatcher + GA wiring 
Implementazione completa Phase 2.5 (LLM prompt mutator) seguendo il piano in
docs/superpowers/plans/2026-05-11-mutate-prompt-llm-phase-2-5.md.

Nuovo modulo src/multi_swarm/genome/mutation_prompt_llm.py:
- 6 mutation instructions (tighten_threshold, swap_comparator, add_condition,
  remove_condition, change_timeframe, add_temporal_gate)
- mutate_prompt_llm(g, llm, rng, mutator_tier=ModelTier.B): clona genome con
  tier B per la call mutator, costruisce system+user prompt con istruzione
  scelta random, estrae prompt da tag <prompt>...</prompt>, valida
- is_valid_prompt(): 3 check (lunghezza >= 50, keyword tecnica, diff > 5%
  Levenshtein-like via difflib.SequenceMatcher)
- Fallback random_mutate su qualsiasi validation fail O LLM exception

Esteso src/multi_swarm/genome/mutation.py con weighted_random_mutate dispatcher:
con probabilità prompt_mutation_weight invoca mutate_prompt_llm, altrimenti
random_mutate. Backward compat: llm=None oppure weight=0 → solo scalare.

Integrazione GA loop + RunConfig:
- GAConfig.prompt_mutation_weight: float = 0.0 (default off)
- next_generation(llm=...) propagato all'invocazione mutator
- RunConfig.prompt_mutation_weight con stesso default
- run_phase1: passa llm a next_generation solo se weight > 0
- scripts/run_phase1.py: flag CLI --prompt-mutation-weight

Tests (+18, 175 totale):
- tests/unit/test_mutation_prompt_llm.py (12): extract_prompt, is_valid_prompt
  3 check, operator success + fallback su 3 modi (invalid/identical/exception),
  tier B per LLM call, istruzione scelta dal pool
- tests/unit/test_mutation_dispatcher.py (4): weight 0/1/None + distribuzione
  30/70 su 1000 estrazioni con tolleranza ±5%
- tests/integration/test_ga_loop_with_prompt_mutator.py (2): loop con
  weight=1.0 produce prompt evoluti; backward compat weight=0 invariato

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
 2026-05-11 23:49:46 +02:00