# Sesija C Phase 3b — Gaia2 ARE dry verification config (Task C4).
#
# LOCKED FOR:
#   - Brief: briefs/2026-04-30-cc-sesija-C-gaia2-setup-dry-verification.md §2.2 Task C4
#   - PM ratification γ (first-batch-as-probe; halt at $8)
#   - PM ratification A (narrow-proxy scope — pass=null until Phase 4 Docker + ARE verifier)
#   - Cost cap unchanged: $15 hard / $10 expected halt / $8 probe-driven halt-and-PM
#
# Adapter consumer: benchmarks/gaia2/adapter.ts → Gaia2AdapterConfig
# Driver:            benchmarks/gaia2/scripts/run-dry-verification.ts
# Tasks source:      benchmarks/gaia2/data/tasks-<config>-<limit>.jsonl
#                    (produced by benchmarks/gaia2/scripts/dump-tasks.py)

# ─── Dry-run scope ───────────────────────────────────────────────────────

task_count_dry_run: 10  # Per shape; 4 shapes × 10 = 40 total invocations

# 4-shape sweep per brief Task C5. baseline + GEPA-evolved for both
# claude + qwen-thinking shape families. Faza 1 §B AUTHORIZED:
# claude-gen1-v1 + qwen-thinking-gen1-v1. Baselines provide control.
shapes:
  - claude                  # baseline 1 (claude::base)
  - claude-gen1-v1          # GEPA-evolved variant 1 (Faza 1 AUTHORIZED)
  - qwen-thinking           # baseline 2 (qwen-thinking::base)
  - qwen-thinking-gen1-v1   # GEPA-evolved variant 2 (Faza 1 AUTHORIZED + Phase 4.5 mechanism CONFIRMED)

# Control shape for relative measurement.
baseline_shape: claude

# Phase 3 narrow-proxy default (per PM ratification A): no judge, pass=null.
# Phase 4 Docker + ARE verifier flips to write-action-verifier.
# Post-launch Phase 3 sprint Week 7 flips to trio-strict.
judge_methodology: narrow-proxy-no-judge

# ─── Cost guards ─────────────────────────────────────────────────────────
# All caps in USD. Cumulative across Sesija C from $0 starting point.
#
# RETROACTIVE AMENDMENT 2026-04-30 (PM Phase 3 closure ratification):
#   Hard cap raised $15 → $20 to accommodate probe overshoot ($16.38 actual
#   vs $15 cap = $1.38 overshoot) plus closure memo writing finalization.
#   Probe-first protocol γ ROI: $147 saved vs full-sweep blind execution
#   ($163.77 projected). Cost amendment is acceptable per probe-first
#   discipline (cheap discovery vs expensive blind execution).
#   See `feedback_probe_first_roi_demonstration.md` memory entry.

cost_cap_usd: 20            # Hard cap — retroactive amendment 2026-04-30 ($15 → $20)
halt_trigger_usd: 8         # Halt-and-PM trigger (PM ratification γ — unchanged)
per_call_halt_usd: 0.50     # Per-LLM-call ceiling (single-call abort — unchanged)

# PM ratification γ first-batch-as-probe: run this many invocations
# first, project total, halt-and-PM if projection > halt_trigger_usd.
# Default 4 (1 task × 4 shapes) — minimum viable probe sample.
# Phase 3b-B sample (this commit): 2 (1 task × 2 shapes) for schema-fit
# verification only.
probe_invocation_count: 4

# ─── Output ──────────────────────────────────────────────────────────────

output_dir_root: benchmarks/gaia2/runs

# ─── HuggingFace dataset config ──────────────────────────────────────────
# Dataset card: https://huggingface.co/datasets/meta-agents-research-environments/gaia2
# Pinned via task-dump JSONL (see benchmarks/gaia2/data/), not via HF
# revision pin — adapter consumes the dump file, dump script consumes HF.
# Phase 4 Docker run will use ARE's native HF loader (pinned revision via
# ARE config).

hf_dataset: meta-agents-research-environments/gaia2
hf_config: mini             # 200 representative scenarios
hf_split: validation        # 160 examples in mini/validation