intelligence-radar/policies/model-ranking-v0.1.yaml
tegwick d0e6438609 Integrate founding explorations and bootstrap operational radar
Assistant: codex
Assistant-Model: gpt-6-astra
Assistant-Session: 01a09c77-b1a9-7eb3-b501-6cb24b458c97
2026-09-13 22:42:09 +02:00

29 lines
806 B
YAML

policy_id: model-ranking-v0.1
effective_from: 2026-09-13
frontier:
objective: maximize_task_fit
topnotch:
relative_to_frontier_minimum: 0.90
efficient:
objective: minimize_expected_total_task_cost
eligible_set: topnotch
sufficient:
use_success_probability: true
default_thresholds:
exploratory: 0.60
routine: 0.80
important: 0.90
high_assurance: 0.97
note: >
Defaults are policy placeholders and must be replaced or calibrated with
task-outcome evidence. High-assurance work may additionally require
independent verification.
budget:
objective: minimize_expected_total_task_cost
eligible_set: sufficient
economics:
require_price_observed_at: true
include_retries: true
include_tools: true
include_verification: true
return_uncertainty_interval: true