112 lines
3.9 KiB
TOML
112 lines
3.9 KiB
TOML
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schema_version = 8
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id = "access-efficient-escalation-lab"
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version = "8.0.0"
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display_name = "Access-Efficient Escalation Lab"
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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."
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tags = ["cost", "local-first", "escalation", "lab"]
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maturity = "lab"
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root = "access_router"
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smoke = "smoke.toml"
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[agents.access_router]
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kind = "root"
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description = "Productive routing root, canonical writer, and escalation authority"
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model = "codex_chatgpt_builtin__gpt_5_6_luna"
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reasoning = "medium"
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allowed_reasoning_efforts = ["low", "medium", "high"]
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execution_mode = "goal"
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goal_token_budget = 250000
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max_goal_token_budget = 400000
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stall_warning_seconds = 3600
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finalization_grace_seconds = 1200
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plan_reasoning = "medium"
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permissions = "workspace-write"
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can_spawn = ["literal_scout", "routine_engineer", "flagship_escalation"]
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max_active = 1
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trust = "high"
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verification = "always"
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instructions = "agents/access-router.md"
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[agents.literal_scout]
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description = "Mechanically contained local model for literal repository evidence only"
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model = "llama_cpp_local_openai_chat__qwen3_5_9b"
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reasoning = "none"
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allowed_reasoning_efforts = ["none"]
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execution_mode = "turn"
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stall_warning_seconds = 1800
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finalization_grace_seconds = 600
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permissions = "read-only"
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backends = ["mcp"]
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can_spawn = []
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max_active = 1
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max_task_chars = 2500
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allowed_task_kinds = ["locate", "references", "extract", "summarize_supplied"]
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trust = "low"
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verification = "always"
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network_access = false
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web_search = "disabled"
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contract_enforcement = "strict"
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resource_group = "local_gpu_0"
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output_contract = "contracts/literal-evidence.json"
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instructions = "agents/literal-scout.md"
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[agents.routine_engineer]
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description = "Economical isolated worker for one bounded routine patch"
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model = "opencode_go_openai_chat__deepseek_v4_flash"
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reasoning = "high"
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allowed_reasoning_efforts = ["low", "high", "max"]
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execution_mode = "turn"
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stall_warning_seconds = 1800
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finalization_grace_seconds = 1200
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permissions = "workspace-write"
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backends = ["mcp"]
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can_spawn = []
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max_active = 1
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allowed_task_kinds = ["implement", "debug", "test", "refactor"]
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trust = "high"
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verification = "always"
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contract_enforcement = "strict"
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output_contract = "contracts/engineering.json"
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instructions = "agents/routine-engineer.md"
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[agents.flagship_escalation]
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description = "Read-only difficult-reasoning escalation used only after explicit trigger evidence"
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model = "zai_coding_responses__glm_5_3"
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reasoning = "max"
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allowed_reasoning_efforts = ["high", "max"]
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execution_mode = "turn"
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stall_warning_seconds = 1800
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finalization_grace_seconds = 900
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permissions = "read-only"
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backends = ["mcp"]
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can_spawn = []
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max_active = 1
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allowed_task_kinds = ["analysis", "review", "security_review"]
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trust = "high"
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verification = "root_adjudication"
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contract_enforcement = "strict"
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output_contract = "contracts/escalation.json"
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instructions = "agents/flagship-escalation.md"
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[agents.access_router.controls.literal_scout]
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actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]
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[agents.access_router.controls.routine_engineer]
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actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]
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[agents.access_router.controls.flagship_escalation]
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actions = ["inspect", "trace", "steer", "interrupt", "pause", "continue", "detach", "stop", "finalize", "compact", "respond", "set_effort", "fork"]
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[coordination]
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mode = "access_efficient_escalation_experiment"
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orchestration = "mcp"
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max_active_agents = 3
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max_depth = 1
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max_children_per_agent = 3
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max_active_writers = 1
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reject_ancestor_role = true
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wait_policy = "dependency_only"
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write_conflict_policy = "reject"
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contradiction_policy = "primary_evidence"
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result_visibility = "ancestors"
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