schema_version = 8
id = "adaptive-change"
profile = "adaptive-engineering"
name = "Adaptive Engineering Change"
description = "Matched trials for selective delegation on decomposable and tightly coupled engineering work."
fixture = "fixture"
development_trials = 3
release_trials = 5

[promotion]
primary_metric = "success_rate"
direction = "higher"
strongest_success_tolerance = 0.02
minimum_relative_improvement = 0.10
minimum_absolute_improvement = 0.05
worker_minimum_success_contribution = 0.02
worker_minimum_metric_contribution = 0.10
no_regression_higher_metrics = []
no_regression_lower_metrics = []
require_complete_api_cost = true

[[variants]]
id = "configured-root"
purpose = "Configured Sol root with delegation mechanically disabled."
topology = "root_only"
comparison_class = "configured_root_alone"

[[variants]]
id = "strongest-task-single"
purpose = "Task-specific flagship Sol single-agent control."
profile = "adaptive-engineering"
topology = "root_only"
comparison_class = "strongest_single_agent"

[[variants]]
id = "codex-access-single"
purpose = "ChatGPT Codex access-service control."
profile = "adaptive-engineering"
topology = "root_only"
comparison_class = "access_service_single_agent"
access_product = "chatgpt_codex"

[[variants]]
id = "go-access-single"
purpose = "OpenCode Go economical DeepSeek control."
profile = "high-confidence-debugging"
topology = "root_only"
comparison_class = "access_service_single_agent"
access_product = "opencode_go"

[[variants]]
id = "zen-access-single"
purpose = "OpenCode Zen Claude control."
profile = "secure-change"
topology = "root_only"
comparison_class = "access_service_single_agent"
access_product = "opencode_zen"

[[variants]]
id = "zai-access-single"
purpose = "Z.AI Coding Plan GLM control."
profile = "incident-hypothesis-triage"
topology = "root_only"
comparison_class = "access_service_single_agent"
access_product = "zai_coding_plan"

[[variants]]
id = "openrouter-access-single"
purpose = "Pinned OpenRouter DeepSeek route control."
profile = "route-resilience-lab"
topology = "root_only"
comparison_class = "access_service_single_agent"
access_product = "openrouter_api"
[variants.bindings]
route_observer = "openrouter_openai_chat__deepseek_deepseek_v4_pro"

[[variants]]
id = "root-plus-implementation"
purpose = "Configured root plus the objectively testable implementation branch."
topology = "root_plus_worker"
worker = "implementation_specialist"
comparison_class = "root_plus_highest_value"

[[variants]]
id = "full-profile"
purpose = "Complete selective adaptive topology."
topology = "full"
comparison_class = "full_profile"

[[variants]]
id = "without-scout"
purpose = "Ablates native reconnaissance."
topology = "full_without_worker"
worker = "repo_scout"
comparison_class = "ablation"

[[variants]]
id = "without-implementation"
purpose = "Ablates the economical isolated implementation branch."
topology = "full_without_worker"
worker = "implementation_specialist"
comparison_class = "ablation"

[[variants]]
id = "without-review"
purpose = "Ablates independent cross-maker review."
topology = "full_without_worker"
worker = "adversarial_reviewer"
comparison_class = "ablation"

[[tasks]]
id = "decomposable-ledger"
description = "Repair an idempotency defect with separable reconnaissance, implementation, and review work."
sandbox = "workspace-write"
difficulty = "hard"
negative_control = false
wall_timeout_seconds = 2400
validation_timeout_seconds = 120
prompt = """
Repair the ledger defect described in SPEC.md. Own diagnosis and canonical integration. Delegate only work with a concrete expected contribution, continue non-overlapping critical-path work while it runs, explicitly accept or reject results, and end with EVAL_ADAPTIVE_VERIFIED.
"""
[tasks.outcome_assertions]
expected_patterns = ["EVAL_ADAPTIVE_VERIFIED"]
forbidden_patterns = []
validation_commands = ["python -m unittest -v"]
[tasks.orchestration_assertions]
required_agents = ["implementation_specialist", "adversarial_reviewer"]
max_jobs = 3
max_contract_failures = 0
max_observed_mcp_wait_ratio = 0.8

[[tasks]]
id = "tight-small-change"
description = "Negative control where worker launch overhead should not be required."
sandbox = "workspace-write"
difficulty = "easy"
negative_control = true
wall_timeout_seconds = 1200
validation_timeout_seconds = 120
prompt = """
Make the smallest correct ledger repair. This task is intentionally compact: remain single-agent unless independent work has a concrete positive expected value. Run the tests and end with EVAL_ADAPTIVE_SMALL.
"""
[tasks.outcome_assertions]
expected_patterns = ["EVAL_ADAPTIVE_SMALL"]
forbidden_patterns = []
validation_commands = ["python -m unittest -v"]
[tasks.orchestration_assertions]
max_jobs = 1
max_contract_failures = 0