bit-vector-tensor-control-policy / policy /control_language_v0.json
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{
"version": "v0",
"product_read": "standalone_agent_harness",
"meta_modes": [
{
"id": "metacognitive",
"one_liner": "inspect current state, uncertainty, and posture before acting",
"why": "the system should know what it knows and where it is weak"
},
{
"id": "metacybernetic",
"one_liner": "regulate routes, gates, escalation, and proof loops",
"why": "the system should steer itself, not just narrate"
},
{
"id": "meta_learning",
"one_liner": "update policy from receipts and benchmark results",
"why": "the system should improve from proof, not vibes"
}
],
"bits": [
{
"id": "execution_allowed",
"meaning": "whether the runtime may open the execution lane"
},
{
"id": "receipt_required",
"meaning": "whether promotion requires a durable receipt"
},
{
"id": "freshness_conflict",
"meaning": "whether new evidence conflicts with older memory"
},
{
"id": "unsupported_query",
"meaning": "whether the question should trigger abstention"
}
],
"vectors": [
{
"id": "control_vector",
"axes": [
"plan",
"execute",
"review",
"promote"
],
"meaning": "current operating posture across the main harness stages"
},
{
"id": "lane_vector",
"axes": [
"memory",
"tooling",
"execution",
"audit"
],
"meaning": "which lane should dominate the next move"
}
],
"tensors": [
{
"id": "control_tensor_v0",
"axes": {
"source": [
"dialogue",
"receipts",
"external_tools",
"task",
"graph_state"
],
"stage": [
"discover",
"select",
"execute",
"review",
"promote"
],
"metric": [
"fit",
"evidence",
"cost",
"latency",
"confidence",
"promotion_readiness"
]
},
"meaning": "multi-surface operating posture over time and stage"
}
],
"invariants": [
"confidence starts at zero until earned",
"receipts gate promotion",
"graph state outranks prose summaries",
"unsupported queries should abstain plainly",
"newer authoritative state should beat stale memory"
]
}