schema_version = 8
id = "access-efficient-escalation-lab"
version = "8.0.0"
display_name = "Access-Efficient Escalation Lab"
description = "An experimental Luna root routes literal reconnaissance to a contained local model, routine patches to economical DeepSeek Flash, and difficult read-only analysis to GLM only when justified."
tags = ["cost", "local-first", "escalation", "lab"]
maturity = "lab"
root = "access_router"
smoke = "smoke.toml"

[agents.access_router]
kind = "root"
description = "Productive routing root, canonical writer, and escalation authority"
model = "codex_chatgpt_builtin__gpt_5_6_luna"
reasoning = "medium"
allowed_reasoning_efforts = ["low", "medium", "high"]
execution_mode = "goal"
goal_token_budget = 250000
max_goal_token_budget = 400000
stall_warning_seconds = 3600
finalization_grace_seconds = 1200
plan_reasoning = "medium"
permissions = "workspace-write"
can_spawn = ["literal_scout", "routine_engineer", "flagship_escalation"]
max_active = 1
trust = "high"
verification = "always"
instructions = "agents/access-router.md"

[agents.literal_scout]
description = "Mechanically contained local model for literal repository evidence only"
model = "llama_cpp_local_openai_chat__qwen3_5_9b"
reasoning = "none"
allowed_reasoning_efforts = ["none"]
execution_mode = "turn"
stall_warning_seconds = 1800
finalization_grace_seconds = 600
permissions = "read-only"
backends = ["mcp"]
can_spawn = []
max_active = 1
max_task_chars = 2500
allowed_task_kinds = ["locate", "references", "extract", "summarize_supplied"]
trust = "low"
verification = "always"
network_access = false
web_search = "disabled"
contract_enforcement = "strict"
resource_group = "local_gpu_0"
output_contract = "contracts/literal-evidence.json"
instructions = "agents/literal-scout.md"

[agents.routine_engineer]
description = "Economical isolated worker for one bounded routine patch"
model = "opencode_go_openai_chat__deepseek_v4_flash"
reasoning = "high"
allowed_reasoning_efforts = ["low", "high", "max"]
execution_mode = "turn"
stall_warning_seconds = 1800
finalization_grace_seconds = 1200
permissions = "workspace-write"
backends = ["mcp"]
can_spawn = []
max_active = 1
allowed_task_kinds = ["implement", "debug", "test", "refactor"]
trust = "high"
verification = "always"
contract_enforcement = "strict"
output_contract = "contracts/engineering.json"
instructions = "agents/routine-engineer.md"

[agents.flagship_escalation]
description = "Read-only difficult-reasoning escalation used only after explicit trigger evidence"
model = "zai_coding_responses__glm_5_3"
reasoning = "max"
allowed_reasoning_efforts = ["high", "max"]
execution_mode = "turn"
stall_warning_seconds = 1800
finalization_grace_seconds = 900
permissions = "read-only"
backends = ["mcp"]
can_spawn = []
max_active = 1
allowed_task_kinds = ["analysis", "review", "security_review"]
trust = "high"
verification = "root_adjudication"
contract_enforcement = "strict"
output_contract = "contracts/escalation.json"
instructions = "agents/flagship-escalation.md"

[agents.access_router.controls.literal_scout]
actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]

[agents.access_router.controls.routine_engineer]
actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]

[agents.access_router.controls.flagship_escalation]
actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]

[coordination]
mode = "access_efficient_escalation_experiment"
orchestration = "mcp"
max_active_agents = 3
max_depth = 1
max_children_per_agent = 3
max_active_writers = 1
reject_ancestor_role = true
wait_policy = "dependency_only"
write_conflict_policy = "reject"
contradiction_policy = "primary_evidence"
result_visibility = "ancestors"