{
  "record_type": "teleon_pipeline_component_detail/v1",
  "canonical_url": "https://teleon.dev/components/profile_and_transform_preferences",
  "last_modified": "2026-10-25",
  "provenance": {
    "spdx_license": "Apache-2.0 / MIT-0",
    "spec_swhid": "swh:1:cnt:b279af4e4ab9637175016eb2a3f3672cb139d12f",
    "atomic_queue_count": 220,
    "phase_count": 42,
    "persistent_store_count": 64,
    "scenario_framework_count": 10,
    "provisioned_bot_slots": 108,
    "verification_commands": [
      "curl -fsSL -H \"Accept: application/json\" https://teleon.dev/ | jq '{queues: .component_count, stores: .persistent_store_count, swhid: .provenance.spec_swhid}'",
      "curl -fsSL https://teleon.dev/.well-known/agent.json",
      "curl -fsSL -r 0-65535 https://files.teleon.dev/v1/range/eocd-probe"
    ]
  },
  "stage": "69",
  "atomic_queue_id": "aq69_profile_and_transform_preferences",
  "stage_criticality": "ASYNC_ENHANCEMENT",
  "visibility": "public_commons",
  "db_unit_id": "DB-UNIT-17",
  "slug": "profile_and_transform_preferences",
  "heading": "20-Scale & Preference Guard",
  "technical_title": "Cascading Decision Models, Local Classifiers & Abstention Core",
  "summary": "Computes 20 orthogonal 0..100 prioritization/enrichment/matching/descriptive scales, profiles user/harness preferences, and prepares disabled-by-default nomenclature & anti-slop transforms.",
  "lanes": [
    "20 Orthogonal 0..100 Scales",
    "Preference Vector",
    "Disabled-Default Rewrite"
  ],
  "inputs": [
    "Task/resource/worker vector",
    "User/harness message history",
    "enabled=False default flag"
  ],
  "outputs": [
    "20-scale 0..100 vector",
    "Preference profile snapshot",
    "Optional negation-verified rewrite"
  ],
  "faceted_labels": [
    "scales:20_orthogonal_0_100",
    "rewrite_default:disabled_passthrough"
  ],
  "flat_row_hydration": {
    "record_type": "teleon_flat_row_hydration_policy/v1",
    "storage_discipline": "normalized_multi_table_with_bitemporal_provenance",
    "claim_delivery_discipline": "single_self_contained_flat_task_row",
    "summary": "Normalized backing tables (entities, attributes, evidence citations, history, and custom supporting tables) are server-side joined before claim into one flat depth-1 task row so claiming agents never write SQL joins or views, while completions deterministically unflatten back into normalized tables.",
    "optional_deep_tools": [
      "teleon.entity_graph_expand",
      "teleon.supporting_table_slice",
      "teleon.propose_schema_evolution",
      "teleon.cross_table_verify",
      "teleon.ignite_seed_pipeline",
      "teleon.decompose_batch_into_nodes",
      "teleon.supervise_split_keep_parent",
      "teleon.ingest_or_crystallize_catchall",
      "teleon.hydrate_scd2_context_pack",
      "teleon.expand_parameter_grid",
      "teleon.search_generated_documents",
      "teleon.scan_jagged_frontier",
      "teleon.vote_and_resolve_conflict",
      "teleon.audit_cot_and_validate_proof",
      "teleon.score_0_100_and_attach_advisories",
      "teleon.emit_append_only_flat_variant",
      "teleon.curate_lexicon_and_coprime_remix",
      "teleon.query_and_curate_lsh_resources",
      "teleon.sync_managed_note_revision",
      "teleon.seed_and_expand_from_note",
      "teleon.exchange_bilateral_mailbox_turn",
      "teleon.export_or_flush_offline_spool",
      "teleon.score_twenty_scales_and_preferences",
      "teleon.index_multiscale_lsh_bands",
      "teleon.upsert_and_filter_partitioned_row",
      "teleon.route_hash_ring_and_spc_chart",
      "teleon.proxy_short_circuit_and_distill",
      "teleon.register_and_run_deterministic_evaluator",
      "teleon.orchestrate_and_post_split_macro_epic",
      "teleon.register_or_query_persistent_dataset",
      "teleon.chunk_harness_histories_and_dyads",
      "teleon.generate_situated_scenarios_first",
      "teleon.publish_thin_gate_and_continuous_audit",
      "teleon.dispatch_bilateral_spawn_envelope",
      "teleon.curate_and_resolve_parameter_pack",
      "teleon.compose_and_dry_run_thin_wrapper_chain",
      "teleon.synthesize_scenario_atlas_v2_worlds",
      "teleon.verify_scenario_oracle_and_benign_twin"
    ]
  },
  "pod_team": {
    "record_type": "teleon_component_pod_team/v1",
    "summary": "Every functional component and atomic queue is governed by a 5-role managing pod rather than a lone worker, pairing swappable 0-call engines with open-search solvers, non-destructive parent-preserving supervisors, diagnostic repair agents, and orthogonal CPOP distillers.",
    "roles": [
      {
        "role_id": "R1_DET_ENGINE",
        "short_label": "0-Call Slot",
        "title": "Swappable 0-Call Deterministic Engine",
        "responsibility": "Executes SQL, BM25F/Roaring, AST, or fuel-metered Wasm adapters behind a fixed typed engine_slot/v1, pairing pinned upstream OSS adapters with clean Teleon-native twins."
      },
      {
        "role_id": "R2_PRIMARY_SOLVER",
        "short_label": "Solver+OpenSearch",
        "title": "Primary Solver & Open-Search Agent",
        "responsibility": "Runs under Instructions + Resources + Freedom to search for new resources and new ways not bound by instructions on 1 self-contained depth-1 flat task row per lease."
      },
      {
        "role_id": "R3_QUEUE_SUPERVISOR",
        "short_label": "Split-Supervisor",
        "title": "Parent-Preserving Queue & Horizon Monitor",
        "responsibility": "Watches queue depth, stalls, and context horizons; explodes oversized tasks into wave-ordered flat subtask rows while preserving the original parent intact for rollup verification and long-horizon benchmarking."
      },
      {
        "role_id": "R4_DIAGNOSTIC_REPAIR",
        "short_label": "Repair+Shim",
        "title": "Diagnostic, Contract-Review & Shim Agent",
        "responsibility": "Reviews whether the edge contract itself failed before mutating code (LE-CONTRACT-002), repairs lease timeouts and schema mismatches, and synthesizes 0..32-step middlelayer shims."
      },
      {
        "role_id": "R5_VERIFIER_DISTILLER",
        "short_label": "CPOP+Distill",
        "title": "Orthogonal Verifier & Sister 0-Call Distiller",
        "responsibility": "Grades outputs across an independent model family (reviewer != producer) and distills recurring high-cost agent wins into 0-call deterministic Sister code."
      }
    ]
  },
  "middlelayer_wrapper_architecture": {
    "record_type": "teleon_middlelayer_wrapper_architecture/v1",
    "envelope_layers": [
      "frustration_avoidance",
      "flexible_pointer_or_slice_carrier",
      "thp_schema_and_version_handshake",
      "surface_account_and_ring_entitlement",
      "idempotent_effect_journal_and_tracking",
      "preflight_self_repair_and_zero_call_check"
    ],
    "kleisli_onion_range": "0..32 composable ComponentMiddlewareStep layers",
    "database_substrate_policy": "acid_commit_kernel_v1 (0 inline agent wrapper steps; strictly unwrapped)",
    "flexible_carriers": [
      "inline_object",
      "swhid_cas_pointer",
      "http_206_byte_slice",
      "d1_row_cursor",
      "signed_r2_uri"
    ]
  },
  "optional_scd2_context_packs": {
    "store_id": "S12",
    "table": "teleon_context_pack_scd2",
    "delivery_modes": [
      "bare_baseline",
      "pre_materialized_flat",
      "on_demand_claim_hydrated"
    ],
    "advisory_only": true,
    "pack_required_for_execution": false
  },
  "database": {
    "host": "https://lsh-db.teleon.dev",
    "core_tables": [
      "teleon_core.decision_rubric_schemas",
      "teleon_core.cascade_classification_ledger",
      "teleon_core.abstention_calibration_sets"
    ],
    "todo_backlog_table": "teleon_core.decision_cascade_todo_backlog",
    "governance_policy": "acid_commit_kernel_v1",
    "invariants": [
      "Static rubrics precede dynamic item state so input-only decision APIs capture cached-prefix discounts.",
      "Below-threshold confidence returns explicit ABSTAIN or escalates rather than pushing mismatched components."
    ]
  },
  "queues": {
    "atomic_micro_queue": {
      "atomic_queue_id": "aq69_profile_and_transform_preferences",
      "backing_queue_id": "q20_decision_cascade_router",
      "url": "https://q20-decision-cascade-queue.teleon.dev",
      "objective": "Computes 20 orthogonal 0..100 prioritization/enrichment/matching/descriptive scales, profiles user/harness preferences, and prepares disabled-by-default nomenclature & anti-slop transforms."
    },
    "track_2_sister_improve": {
      "sister_id": "SISTER-17",
      "url": "https://sq17-improve-decisions-queue.teleon.dev",
      "objective": "Distill frontier decisions into compact SetFit/ModernBERT/GLiNER2 CPU heads and tighten natural no-match abstention thresholds.",
      "improvement_areas": [
        "Distill recurring multi-question rubrics into 8-to-32-shot SetFit and ONNX INT8 CPU classifiers (DIM-03, DIM-06)",
        "Calibrate per-domain abstention thresholds on 25%+ natural no-suitable-component holdouts (DIM-01, DIM-06)",
        "Benchmark choice-order invariance across Clef-flash, Jev, Clairic, and Decisions endpoints (DIM-02, DIM-08)"
      ]
    },
    "submit_endpoint": "https://queues.teleon.dev/v1/queues/submit",
    "value_spine_endpoint": "https://api.teleon.dev/v1/value-spine"
  },
  "engines": {
    "deterministic": {
      "connector_id": "rule_model2vec_setfit_gliner_cpu_cascade_v1",
      "max_model_calls": 0,
      "formula": "0-call code / SQL / Wasm",
      "role": "20-scale scorer, 16D preference profiler & code-masked negation-safe rewriter"
    },
    "hybrid": {
      "connector_id": "clef_jev_clairic_typed_decision_escalation_v1",
      "max_model_calls": 1
    },
    "ai_agent_and_bot_fleet": {
      "connector_id": "ambiguous_tail_reasoning_arbitrator_v1",
      "max_model_calls": 6,
      "role": "Domain preference curator & nomenclature mapping proposer",
      "execution_contract": "Instructions + Resources + Freedom to search for new resources and new ways not bound by instructions",
      "supported_harnesses": [
        "codex",
        "claude-code",
        "chatgpt",
        "openai-dots",
        "meta-muse",
        "grokbot",
        "opencode"
      ],
      "provenance_fields": [
        "bot_harness",
        "bot_version",
        "llm_model",
        "observed_tokens"
      ],
      "actions": [
        "Score urgency, VoI, Pareto efficiency, tractability, info gain, freshness, port fit, and determinism on 0..100",
        "Build quantized 16D user and harness preference vectors without altering default passthrough traffic",
        "Guard optional nomenclature and anti-slop rewrites with code-span masking and strict negation preservation"
      ]
    }
  }
}
