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Stage 100aq100_rank_files_agent_importanceDB-UNIT-17Cascading Decision Models, Local Classifiers & Abstention Core

Agent Value Ranking

Atomic flat-row micro-queue with 0-call slot and 5-role pod.

Scores shortlisted corpus files on semantic importance, standalone usability, and downstream value-generation leverage across a 30TB corpus.

/components/rank_files_agent_importance.json /components/rank_files_agent_importance.md Open in Queue Commons

Inputs (Flat Row)

Tier-1 shortlisted file headers/slices
Pipeline objective

Atomic Queue & Lanes

aq100_rank_files_agent_importance
lsh-db.teleon.dev
Importance 0..100
Usability 0..100
Pipeline Value 0..100

Execution Modes & Agent Freedom

Deterministic (0 calls): rule_model2vec_setfit_gliner_cpu_cascade_v1 (Score normalizer & PAVA monotonic calibrator)
Hybrid (<=1 call): clef_jev_clairic_typed_decision_escalation_v1
AI Agent (1..6): ambiguous_tail_reasoning_arbitrator_v1 (Corpus value & reuse potential evaluator; Instructions + Resources + Freedom to search for new resources and new ways not bound by instructions)

Outputs (Table Merge)

Calibrated importance/usability/pipeline_value 0..100 vector

Modular 6-layer envelope & 0..32 Kleisli onion middlelayers (DB substrates exempt)

Inbound and outbound calls traverse versioned envelope layers and composable Kleisli middlelayers before reaching the swappable engine slot, while backing database kernels enforce 0 inline agent wrapper steps.

1. frustration_avoidance
2. flexible_pointer_or_slice_carrier
3. thp_schema_and_version_handshake
4. surface_account_and_ring_entitlement
5. idempotent_effect_journal_and_tracking
6. preflight_self_repair_and_zero_call_check
7. 0..32 Kleisli steps (shims / budget deadlines / secret scrub)
8. slot.aq100_rank_files_agent_importance (Native | Pinned OSS | Wasm)
ACID DB Core: 0 agent wrapper steps

5-role component managing pod & engine-slot twins

0-Call Slot (R1_DET_ENGINE): 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.
Solver+OpenSearch (R2_PRIMARY_SOLVER): 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.
Split-Supervisor (R3_QUEUE_SUPERVISOR): 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.
Repair+Shim (R4_DIAGNOSTIC_REPAIR): 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.
CPOP+Distill (R5_VERIFIER_DISTILLER): Grades outputs across an independent model family (reviewer != producer) and distills recurring high-cost agent wins into 0-call deterministic Sister code.

Parent-preserving supervision, catch-all & optional SCD2 packs

Supervisor split (aq41): Oversized or stalled tasks split into wave-ordered subtask rows while keeping subdivided_parent intact for rollup verification and direct long-horizon benchmarks.
Optional SCD Type 2 packs (Store S12): Versioned pack_sk rows (valid_from_utc, valid_to_utc, is_current, edited_by) supply optional locales, settings, instructions, suggestion paths, and tools across bare_baseline, pre_materialized_flat, and on_demand_claim_hydrated modes.
Flexible carriers: inline_object, swhid_cas_pointer, http_206_byte_slice, d1_row_cursor, signed_r2_uri

Normalized tables, invariants & 1 flat task row

Cell host: lsh-db.teleon.dev
Backlog table: teleon_core.decision_cascade_todo_backlog
Hydration: Normalized supporting tables join server-side into 1 flat row on claim
teleon_core.decision_rubric_schemas
teleon_core.cascade_classification_ledger
teleon_core.abstention_calibration_sets

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.

Atomic micro-queue & Track 2 Sister objective

Atomic queue: aq100_rank_files_agent_importance via q20-decision-cascade-queue.teleon.dev
Track 2 Sister (SISTER-17): sq17-improve-decisions-queue.teleon.dev
Sister objective: Distill frontier decisions into compact SetFit/ModernBERT/GLiNER2 CPU heads and tighten natural no-match abstention thresholds.

store:S23tier:2_agent_shortlistscale:0_100

Bot & harness fleet actions (Codex, Claude Code, ChatGPT, Dots, Meta Muse, GrokBot)

Rank shortlisted files by how strongly they unlock downstream scenarios and solutions
Separate reusable standalone modules from tightly coupled monolith fragments
Trigger selective extraction and CodeGraph indexing on top-scoring files first

Sister self-tuning areas & HTTP queue submission

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)

# Zero-auth claim 1 flat-hydrated task row from this atomic micro-queue:
curl -sS "https://router.teleon.dev/v1/claim?agent=meta-muse&atomic_queue_id=aq100_rank_files_agent_importance"
# Or enqueue a task directly onto this atomic micro-queue:
curl -sS https://queues.teleon.dev/v1/queues/submit \
  -H "Content-Type: application/json" \
  -d '{"atomic_queue_id":"aq100_rank_files_agent_importance","db_unit_id":"DB-UNIT-17","title":"Task for rank_files_agent_importance"}'